NOTE TO READER:
Unfortunately the auto_arima function has an automated diagnositic export which could not be suppressed. The reader may scroll through these diagnositics to reach the next section of work. This is applicable to the html, as running the notebook will allow suppression of this printout by collapsing the line.
Import all libraries required for this script.
# Import logging library and log file prior to initialising rest of code. Typically assists in prevent log file export issues.
# --------------------------------#
import logging
import datetime
logging.basicConfig(filename=datetime.datetime.now().strftime("%Y%m%d_%H%M%S")+'_log_service_hex_joins.log', filemode='w', format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO)
# Import remaining libraries.
# --------------------------------#
# General libraries.
import pandas as pd
import numpy as np
from numpy import arange
import json
import time
import sys
import plotly.express as px #fig.show(renderer='notebook') #Allows all plotly plots to be exported with the html.
import missingno as msno
import matplotlib.pyplot as plt
import math
# Spatial libraries.
import geopandas as gpd
import shapely
from shapely.geometry import Polygon, Point, MultiPolygon, MultiPoint, GeometryCollection
from shapely.ops import nearest_points
from shapely.geometry.base import geom_factory
from shapely.geos import lgeos
from shapely import wkt
from area import area
# Mapping.
import folium
from folium import plugins
from folium import Map, FeatureGroup, Marker, LayerControl
from folium.features import GeoJson, GeoJsonTooltip, GeoJsonPopup
from folium.plugins import MarkerCluster
from folium.plugins import MeasureControl
from folium.plugins import MousePosition
from folium.plugins import FloatImage
# Introspection specific libraries.
# --------------------------------#
#Stationary/non-stationary time series analysis.
from statsmodels.tsa.stattools import adfuller
# Ridge Regression.
from sklearn.linear_model import RidgeCV
from sklearn.model_selection import RepeatedKFold
# Auto ARIMA
from statsmodels.tsa.arima_model import ARIMA
import pmdarima as pm #pip install pmdarima --user (resolved environment issues.)
# Classification specific libraries.
# --------------------------------#
from sklearn.cluster import DBSCAN
from sklearn.cluster import KMeans
area_me_rdme={
'type':float,
'units':'square kms',
'docstring':'From geometric object (shapely geometry), in decimal degrees format (crs="EPSG:4326"), outputs area of polygon in square kilometers'
}
def area_me(polygon)->area_me_rdme: #Polygon is in DD format for coords.
return area(json.dumps(shapely.geometry.mapping(polygon)))/10**6
# To view annotations please uncomment the below eg of docstring below.
# -------------------#
# Export unit format.
# area_me.__annotations__['return']['type']
# Export units.
# area_me.__annotations__['return']['units']
# Export Description.
area_me.__annotations__['return']['docstring']
'From geometric object (shapely geometry), in decimal degrees format (crs="EPSG:4326"), outputs area of polygon in square kilometers'
polyFix_it_rdme={
'type':'range of folders related to geometric test and manipulation',
'units':'Varied per column',
'docstring':'Function which takes in a geometry and geometry index and checks for various geometric errors, applies simple fixes and exports information about the original and adjusted geometries'
}
def polyFix_it(geom, index)->polyFix_it_rdme:
"""
OUTPUT COLUMNS:
-------------------------
'Orig_Area', - original geometry area in sqkm
'Orignal Geometry Type', - original geometry type, eg. Point, Polygon etc.
'Orignal Geometry Validity', - Output of validity (valid/not valid) for original geometry.
'Orignal Geometry Validity Reason', Validity check eg. self intersection, polygon not fully joined etc.
'Final Geometry', - corrected geometry
'Final Area', - corrected geometry area in sqkm
'Final Geometry Validity', - Output of validity (valid/not valid) for corrected geometry.
'Final Valid Ratio' - Ratio of area, original geometry area/corrected geometry area. This should be close to 1.
EXAMPLE OF CALLING FUNCTION:
-------------------------
# pdf[['Orig_Area', 'Orignal Geometry Type', 'Orignal Geometry Validity', 'Orignal Geometry Validity Reason', 'Final Geometry', 'Final Area', 'Final Geometry Validity', 'Final Valid Ratio']]=pdf.apply(lambda x: polyFix_it(x['geometry'], x.name), axis=1, result_type='expand')
"""
# print(index) #Debug.
# Original area:
orig_area=area_me(geom)
orig_area_type=geom.geom_type
is_valid_=geom.is_valid
is_valid_reason=lgeos.GEOSisValidReason(geom._geom)
if is_valid_==True:
new_geom=geom
corr_method='Valid geometry, no adjustments required.'
return [orig_area, orig_area_type, is_valid_, is_valid_reason, new_geom, orig_area, 'Valid geometry, no adjustments required.', 1]
# Buffer:
buff_geom=geom.buffer(0)
buffer_area=area_me(buff_geom)
buffer_valid=buff_geom.is_valid
if buffer_valid==True and buffer_area>0:
buffer_valid_ratio=round(orig_area/buffer_area,1)
else:
buffer_valid_ratio=0
# Stitching:
if geom.geom_type=='Polygon':
ls = LineString(geom.exterior)
lr = LineString(ls.coords[:] + ls.coords[0:1])
mls = shapely.ops.unary_union(lr)
# mls.geom_type
stitch_geom = MultiPolygon(list(shapely.ops.polygonize(mls)))
stitch_area=area_me(stitch_geom)
stitch_valid=stitch_geom.is_valid
if stitch_valid==True and stitch_area>0:
stitch_valid_ratio=round(orig_area/stitch_area,1)
else:
stitch_valid_ratio=0
#Non-viable option:
non_viable=[orig_area, orig_area_type, is_valid_, is_valid_reason, 'Geometry Cannot Be Resolved', 0, 'Geometry Cannot Be Resolved', 'Geometry Cannot Be Resolved']
if buffer_area==0 and stitch_area==0:
return non_viable
# if buffer_area==0: #Debug.
# print(index)
if orig_area>0 and buffer_area>0:
buffer_valid_ratio=round(orig_area/buffer_area,1)
if (is_valid_ == False) and (buffer_valid_ratio<2):
new_geom=buff_geom
# corr_method='Buffer used.'
elif (is_valid_ == False) and (buffer_valid_ratio>=2):
if geom.geom_type=='Polygon':
new_geom=stitch_geom
corr_method='"Stiching Points."'
else:
return non_viable
elif orig_area>0 and buffer_area==0:
if geom.geom_type=='Polygon':
new_geom=stitch_geom
corr_method='"Stiching Points."'
else:
return non_viable
final_area = area_me(new_geom)
final_is_valid = new_geom.is_valid
if final_is_valid==True:
"Adjusted Geometry is Valid."
final_valid_ratio = round(orig_area/final_area,4)
return [orig_area, orig_area_type, is_valid_, is_valid_reason, new_geom, final_area, final_is_valid, final_valid_ratio]
closest_distance_rdme={
'type':float,
'units':'km',
'docstring':'Takes in two geometric shapely objects and calculates the closest distance (km) between them using the haversine formula.'
}
def closest_distance(point_poly_1,point_poly_2):
cen1, cen2 = nearest_points(point_poly_1, point_poly_2)
lon1, lat1 = list(cen1.coords)[0]
lon2, lat2 = list(cen2.coords)[0]
#Fixed variables:
radearth=6371 #In km
distlat=math.radians(lat2-lat1)
distlon=math.radians(lon2-lon1)
a=math.sin(distlat/2)*math.sin(distlat/2)+math.cos(math.radians(lat1))*math.cos(math.radians(lat2))*math.sin(distlon/2)*math.sin(distlon/2)
c=2*math.atan2(math.sqrt(a),math.sqrt(1-a))
d=radearth*c
d=round(d,4)
return d
Read in service requests data (full set)
# Import service request data.
sr=pd.read_csv('20220703_231225_service_requests.csv')
sr
| Unnamed: 0.1 | Unnamed: 0 | notification_number | reference_number | creation_timestamp | completion_timestamp | directorate | department | branch | section | code_group | code | cause_code_group | cause_code | official_suburb | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 400583534 | 9.109492e+09 | 2020-10-07 06:55:18+02:00 | 2020-10-08 15:36:35+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area Central | District: Blaauwberg | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | Road (RCL) | Wear and tear | MONTAGUE GARDENS | -33.872839 | 18.522488 |
| 1 | 1 | 1 | 400555043 | 9.108995e+09 | 2020-07-09 16:08:13+02:00 | 2020-07-14 14:27:01+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area East | District : Somerset West | TD Customer complaint groups | Manhole Cover/Gully Grid | Road (RCL) | Vandalism | SOMERSET WEST | -34.078916 | 18.848940 |
| 2 | 2 | 2 | 400589145 | 9.109614e+09 | 2020-10-27 10:21:59+02:00 | 2020-10-28 17:48:15+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area East | District : Somerset West | TD Customer complaint groups | Manhole Cover/Gully Grid | Road (RCL) | Vandalism | STRAND | -34.102242 | 18.821116 |
| 3 | 3 | 3 | 400538915 | 9.108601e+09 | 2020-03-19 06:36:06+02:00 | 2021-03-29 20:34:19+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area North | District : Bellville | TD Customer complaint groups | Paint Markings Lines&Signs | Road Markings | Wear and tear | RAVENSMEAD | -33.920019 | 18.607209 |
| 4 | 4 | 4 | 400568554 | NaN | 2020-08-25 09:48:42+02:00 | 2020-08-31 08:41:13+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area South | District : Athlone | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | Road (RCL) | Surfacing failure | CLAREMONT | -33.987400 | 18.453760 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 941629 | 941629 | 941629 | 1016508425 | 9.109974e+09 | 2020-12-31 23:49:38+02:00 | 2021-01-11 11:54:42+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | Reticulation Water Distribution | WATER | Leak at Valve | NaN | NaN | WOODSTOCK | -33.931571 | 18.452159 |
| 941630 | 941630 | 941630 | 1016508432 | 9.109975e+09 | 2020-12-31 23:31:11+02:00 | 2021-01-04 11:46:28+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | NaN | SEWER | Sewer: Blocked/Overflow | General | Foreign Objects | FISANTEKRAAL | -33.783246 | 18.716554 |
| 941631 | 941631 | 941631 | 1016508434 | 9.109975e+09 | 2020-12-31 23:58:21+02:00 | 2021-01-01 00:01:08+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | NaN | WATER | Burst Pipe | NaN | NaN | NaN | NaN | NaN |
| 941632 | 941632 | 941632 | 1016508442 | 9.109975e+09 | 2020-12-31 23:41:57+02:00 | 2021-01-05 15:59:24+02:00 | WATER AND SANITATION | Commercial Services | Customer Services (Water) | Meter Management | WATER MANAGEMENT DEVICE | No Water WMD | NaN | NaN | WESBANK | -33.971099 | 18.659831 |
| 941633 | 941633 | 941633 | 1016508443 | 9.109975e+09 | 2020-12-31 23:54:09+02:00 | 2021-02-23 10:38:21+02:00 | WATER AND SANITATION | Commercial Services | Customer Services (Water) | Meter Management | WATER | Leak at Water Meter / Stopcock | NaN | NaN | BIZWENI | -34.088078 | 18.862550 |
941634 rows × 17 columns
# Convert lat lon coordinates to Point object for intersections.
sr['geometry']=sr.apply(lambda x: Point(x['longitude'], x['latitude']), axis=1)
C:\Users\ryanp\anaconda3\lib\site-packages\pandas\core\dtypes\cast.py:122: ShapelyDeprecationWarning: The array interface is deprecated and will no longer work in Shapely 2.0. Convert the '.coords' to a numpy array instead.
# Create a geodataframe.
sr=gpd.GeoDataFrame(sr, geometry='geometry', crs='EPSG:4326')
sr.info()
<class 'geopandas.geodataframe.GeoDataFrame'> RangeIndex: 941634 entries, 0 to 941633 Data columns (total 18 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Unnamed: 0.1 941634 non-null int64 1 Unnamed: 0 941634 non-null int64 2 notification_number 941634 non-null int64 3 reference_number 592920 non-null float64 4 creation_timestamp 941634 non-null object 5 completion_timestamp 929442 non-null object 6 directorate 932199 non-null object 7 department 932180 non-null object 8 branch 913233 non-null object 9 section 848509 non-null object 10 code_group 941634 non-null object 11 code 941634 non-null object 12 cause_code_group 131117 non-null object 13 cause_code 131117 non-null object 14 official_suburb 729221 non-null object 15 latitude 729270 non-null float64 16 longitude 729270 non-null float64 17 geometry 941634 non-null geometry dtypes: float64(3), geometry(1), int64(3), object(11) memory usage: 129.3+ MB
# Check the coordinate reference system of the geodataframe.
sr.crs
<Geographic 2D CRS: EPSG:4326> Name: WGS 84 Axis Info [ellipsoidal]: - Lat[north]: Geodetic latitude (degree) - Lon[east]: Geodetic longitude (degree) Area of Use: - name: World. - bounds: (-180.0, -90.0, 180.0, 90.0) Datum: World Geodetic System 1984 ensemble - Ellipsoid: WGS 84 - Prime Meridian: Greenwich
# Check for any missing information.
msno.bar(sr)
<AxesSubplot:>
Quite a few columns, especially "cause_code_group" and "cause_code" have a large number of missing values.
Read in hex 8 level geometries
# Read in hex, resolution 8 spatial file.
hex8=gpd.read_file('20220703_231253_cpt8hex_geometries.geojson', driver='GeoJSON')
hex8
| index | centroid_lat | centroid_lon | geometry | |
|---|---|---|---|---|
| 0 | 88ad361801fffff | -33.859427 | 18.677843 | POLYGON ((18.68119 -33.86330, 18.68357 -33.859... |
| 1 | 88ad361803fffff | -33.855696 | 18.668766 | POLYGON ((18.67211 -33.85957, 18.67450 -33.855... |
| 2 | 88ad361805fffff | -33.855263 | 18.685959 | POLYGON ((18.68931 -33.85914, 18.69169 -33.855... |
| 3 | 88ad361807fffff | -33.851532 | 18.676881 | POLYGON ((18.68023 -33.85541, 18.68261 -33.851... |
| 4 | 88ad361809fffff | -33.867322 | 18.678806 | POLYGON ((18.68215 -33.87120, 18.68454 -33.867... |
| ... | ... | ... | ... | ... |
| 3827 | 88ad369715fffff | -34.353404 | 18.479198 | POLYGON ((18.48255 -34.35726, 18.48494 -34.353... |
| 3828 | 88ad369717fffff | -34.349672 | 18.470112 | POLYGON ((18.47346 -34.35353, 18.47585 -34.349... |
| 3829 | 88ad369733fffff | -34.337717 | 18.477288 | POLYGON ((18.48063 -34.34158, 18.48303 -34.337... |
| 3830 | 88ad369739fffff | -34.349293 | 18.487330 | POLYGON ((18.49068 -34.35315, 18.49307 -34.349... |
| 3831 | 88ad36973bfffff | -34.345561 | 18.478243 | POLYGON ((18.48159 -34.34942, 18.48398 -34.345... |
3832 rows × 4 columns
# Check that all names and geometries are unique.
hex8['index'].nunique(), hex8['geometry'].nunique()
(3832, 3832)
# Run function to check and possible correct invalid geometries.
hex8[['Orig_Area', 'Orignal Geometry Type', 'Orignal Geometry Validity', 'Orignal Geometry Validity Reason', 'Final Geometry', 'Final Area', 'Final Geometry Validity', 'Final Valid Ratio']]=hex8.apply(lambda x: polyFix_it(x['geometry'], x.name), axis=1, result_type='expand')
# Check that all geometries are valid.
hex8['Orignal Geometry Validity'].value_counts()
True 3832 Name: Orignal Geometry Validity, dtype: int64
All geometries are valid, drop the added columns.
hex8.drop(columns=['Orig_Area', 'Orignal Geometry Type', 'Orignal Geometry Validity', 'Orignal Geometry Validity Reason', 'Final Geometry', 'Final Area', 'Final Geometry Validity', 'Final Valid Ratio'], inplace=True)
# Check for any missing information.
msno.bar(hex8)
<AxesSubplot:>
No missing information.
# Check the coordinate reference system of the geodataframe.
hex8.crs
<Geographic 2D CRS: EPSG:4326> Name: WGS 84 Axis Info [ellipsoidal]: - Lat[north]: Geodetic latitude (degree) - Lon[east]: Geodetic longitude (degree) Area of Use: - name: World. - bounds: (-180.0, -90.0, 180.0, 90.0) Datum: World Geodetic System 1984 ensemble - Ellipsoid: WGS 84 - Prime Meridian: Greenwich
# Check general info of the geodataframe.
hex8.info()
<class 'geopandas.geodataframe.GeoDataFrame'> RangeIndex: 3832 entries, 0 to 3831 Data columns (total 4 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 index 3832 non-null object 1 centroid_lat 3832 non-null float64 2 centroid_lon 3832 non-null float64 3 geometry 3832 non-null geometry dtypes: float64(2), geometry(1), object(1) memory usage: 119.9+ KB
hex8['Hex area (sqkm)']=hex8['geometry'].apply(lambda x: area_me(x))
hex8['Hex area (sqkm)'].describe()
count 3832.000000 mean 0.699553 std 0.002831 min 0.692531 25% 0.697670 50% 0.699456 75% 0.702060 max 0.704613 Name: Hex area (sqkm), dtype: float64
Based on the percentiles listed above, the distribution is sufficiently close to use the mean area of 0.699553 sqkm for all further calculations.
Join service requests to level 8 H3
Not that Nan latitude longitude values will result in no intersections with level 8 H3.
Due to the number of service requests and number of level 8 H3 grids, the intersections will take quite some time. The time is logged below.
# Join the service request layer to the hex layer.
start=time.time()
sr_hex8=gpd.sjoin(sr, hex8[['index', 'geometry']], how='left', op='within')
duration=round(time.time()-start, 4)
print('Intersections took {} seconds'.format(duration))
sr_hex8
Intersections took 15.3435 seconds
| Unnamed: 0.1 | Unnamed: 0 | notification_number | reference_number | creation_timestamp | completion_timestamp | directorate | department | branch | section | code_group | code | cause_code_group | cause_code | official_suburb | latitude | longitude | geometry | index_right | index | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 400583534 | 9.109492e+09 | 2020-10-07 06:55:18+02:00 | 2020-10-08 15:36:35+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area Central | District: Blaauwberg | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | Road (RCL) | Wear and tear | MONTAGUE GARDENS | -33.872839 | 18.522488 | POINT (18.52249 -33.87284) | 1047.0 | 88ad360225fffff |
| 1 | 1 | 1 | 400555043 | 9.108995e+09 | 2020-07-09 16:08:13+02:00 | 2020-07-14 14:27:01+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area East | District : Somerset West | TD Customer complaint groups | Manhole Cover/Gully Grid | Road (RCL) | Vandalism | SOMERSET WEST | -34.078916 | 18.848940 | POINT (18.84894 -34.07892) | 3055.0 | 88ad36d5e1fffff |
| 2 | 2 | 2 | 400589145 | 9.109614e+09 | 2020-10-27 10:21:59+02:00 | 2020-10-28 17:48:15+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area East | District : Somerset West | TD Customer complaint groups | Manhole Cover/Gully Grid | Road (RCL) | Vandalism | STRAND | -34.102242 | 18.821116 | POINT (18.82112 -34.10224) | 2946.0 | 88ad36d437fffff |
| 3 | 3 | 3 | 400538915 | 9.108601e+09 | 2020-03-19 06:36:06+02:00 | 2021-03-29 20:34:19+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area North | District : Bellville | TD Customer complaint groups | Paint Markings Lines&Signs | Road Markings | Wear and tear | RAVENSMEAD | -33.920019 | 18.607209 | POINT (18.60721 -33.92002) | 1247.0 | 88ad361133fffff |
| 4 | 4 | 4 | 400568554 | NaN | 2020-08-25 09:48:42+02:00 | 2020-08-31 08:41:13+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area South | District : Athlone | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | Road (RCL) | Surfacing failure | CLAREMONT | -33.987400 | 18.453760 | POINT (18.45376 -33.98740) | 2530.0 | 88ad361709fffff |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 941629 | 941629 | 941629 | 1016508425 | 9.109974e+09 | 2020-12-31 23:49:38+02:00 | 2021-01-11 11:54:42+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | Reticulation Water Distribution | WATER | Leak at Valve | NaN | NaN | WOODSTOCK | -33.931571 | 18.452159 | POINT (18.45216 -33.93157) | 2439.0 | 88ad361547fffff |
| 941630 | 941630 | 941630 | 1016508432 | 9.109975e+09 | 2020-12-31 23:31:11+02:00 | 2021-01-04 11:46:28+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | NaN | SEWER | Sewer: Blocked/Overflow | General | Foreign Objects | FISANTEKRAAL | -33.783246 | 18.716554 | POINT (18.71655 -33.78325) | 542.0 | 88ad3656d7fffff |
| 941631 | 941631 | 941631 | 1016508434 | 9.109975e+09 | 2020-12-31 23:58:21+02:00 | 2021-01-01 00:01:08+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | NaN | WATER | Burst Pipe | NaN | NaN | NaN | NaN | NaN | POINT EMPTY | NaN | NaN |
| 941632 | 941632 | 941632 | 1016508442 | 9.109975e+09 | 2020-12-31 23:41:57+02:00 | 2021-01-05 15:59:24+02:00 | WATER AND SANITATION | Commercial Services | Customer Services (Water) | Meter Management | WATER MANAGEMENT DEVICE | No Water WMD | NaN | NaN | WESBANK | -33.971099 | 18.659831 | POINT (18.65983 -33.97110) | 1502.0 | 88ad36c49bfffff |
| 941633 | 941633 | 941633 | 1016508443 | 9.109975e+09 | 2020-12-31 23:54:09+02:00 | 2021-02-23 10:38:21+02:00 | WATER AND SANITATION | Commercial Services | Customer Services (Water) | Meter Management | WATER | Leak at Water Meter / Stopcock | NaN | NaN | BIZWENI | -34.088078 | 18.862550 | POINT (18.86255 -34.08808) | 2974.0 | 88ad36d517fffff |
941634 rows × 20 columns
A possible time saving could be introduced by using multiprocessing to split the spatial joins per processor.
# Calculate the number of service requests without valid coordinates.
no_coords=sr_hex8[(sr_hex8['latitude'].isna()) | (sr_hex8['longitude'].isna())].shape[0]
# Check the number entries (with valid coords) that did not intersect with the level 8 H3 layer.
viabe_sr_nohex=sr_hex8[~(sr_hex8['latitude'].isna()) | ~(sr_hex8['longitude'].isna())]
viabe_sr_nohex=viabe_sr_nohex[viabe_sr_nohex['index'].isna()].shape[0]
# Calculate total join error %.
join_error=(no_coords+viabe_sr_nohex)*100/len(sr_hex8)
Join errors
# Specify the error threshold.
error_thres=50
The error threshold is generally dependent on the nature of what the data will be used for. In this case, while it would be valuable to have a more accurate understanding of the actual spatial distrubution of all requests, not having the spatial coordinatees still allows for other information to be drawn. The spatial component does assist in resource forecasting for business units. A error threshold of 50% was chosen in this instance due to the nature of the data.
# Log information.
logging.info('Summary of joins:')
logging.info('-'*50)
logging.info('A total of {} service requests did not have valid coordinates.'.format(no_coords))
logging.info('A total of {} service requests did not have coordinates within the boundaries of Cape Town.'.format(viabe_sr_nohex))
# Add if/else for ERROR message.
if error_thres>join_error:
logging.info('The current join error percentage {}% does not exceed that of the threshold({}%).'.format(join_error, error_thres))
else:
logging.error('WARNING: The current join error percentage of {}% is beyond the {}% threshold.'.format(join_error, error_thres))
logging.info('-'*50)
fig = px.pie(pd.DataFrame([['Successefully joined service requests',len(sr_hex8)-(no_coords-viabe_sr_nohex)], ['Service requests with incorrect coordinates',no_coords], ['Service requests beyond bonds of Cape Town',viabe_sr_nohex]], columns=['Join verdict','Counts']),
values='Counts',
names='Join verdict',
title='Percentage of the join verdicts for service requests to the level 8 H3 layer')
fig.show(renderer='notebook') #Allows all plotly plots to be exported with the html.
Set index to zero in cases with no lat or lon
# Rename columns.
sr_hex8.rename(columns={'index':'h3_level8_index'}, inplace=True)
# Fill no lat lons (aka no joins) with the string "0".
sr_hex8['h3_level8_index']=sr_hex8['h3_level8_index'].fillna("0")
Validate joins
# Read in pre-joined challenge file, "sr_hex.csv" aka "20220703_231236_service_requests_8hex.csv"
sr_8hex_valid=pd.read_csv('20220703_231236_service_requests_8hex.csv')
sr_8hex_valid
| Unnamed: 0 | notification_number | reference_number | creation_timestamp | completion_timestamp | directorate | department | branch | section | code_group | code | cause_code_group | cause_code | official_suburb | latitude | longitude | h3_level8_index | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 400583534 | 9.109492e+09 | 2020-10-07 06:55:18+02:00 | 2020-10-08 15:36:35+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area Central | District: Blaauwberg | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | Road (RCL) | Wear and tear | MONTAGUE GARDENS | -33.872839 | 18.522488 | 88ad360225fffff |
| 1 | 1 | 400555043 | 9.108995e+09 | 2020-07-09 16:08:13+02:00 | 2020-07-14 14:27:01+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area East | District : Somerset West | TD Customer complaint groups | Manhole Cover/Gully Grid | Road (RCL) | Vandalism | SOMERSET WEST | -34.078916 | 18.848940 | 88ad36d5e1fffff |
| 2 | 2 | 400589145 | 9.109614e+09 | 2020-10-27 10:21:59+02:00 | 2020-10-28 17:48:15+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area East | District : Somerset West | TD Customer complaint groups | Manhole Cover/Gully Grid | Road (RCL) | Vandalism | STRAND | -34.102242 | 18.821116 | 88ad36d437fffff |
| 3 | 3 | 400538915 | 9.108601e+09 | 2020-03-19 06:36:06+02:00 | 2021-03-29 20:34:19+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area North | District : Bellville | TD Customer complaint groups | Paint Markings Lines&Signs | Road Markings | Wear and tear | RAVENSMEAD | -33.920019 | 18.607209 | 88ad361133fffff |
| 4 | 4 | 400568554 | NaN | 2020-08-25 09:48:42+02:00 | 2020-08-31 08:41:13+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area South | District : Athlone | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | Road (RCL) | Surfacing failure | CLAREMONT | -33.987400 | 18.453760 | 88ad361709fffff |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 941629 | 941629 | 1016508425 | 9.109974e+09 | 2020-12-31 23:49:38+02:00 | 2021-01-11 11:54:42+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | Reticulation Water Distribution | WATER | Leak at Valve | NaN | NaN | WOODSTOCK | -33.931571 | 18.452159 | 88ad361547fffff |
| 941630 | 941630 | 1016508432 | 9.109975e+09 | 2020-12-31 23:31:11+02:00 | 2021-01-04 11:46:28+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | NaN | SEWER | Sewer: Blocked/Overflow | General | Foreign Objects | FISANTEKRAAL | -33.783246 | 18.716554 | 88ad3656d7fffff |
| 941631 | 941631 | 1016508434 | 9.109975e+09 | 2020-12-31 23:58:21+02:00 | 2021-01-01 00:01:08+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | NaN | WATER | Burst Pipe | NaN | NaN | NaN | NaN | NaN | 0 |
| 941632 | 941632 | 1016508442 | 9.109975e+09 | 2020-12-31 23:41:57+02:00 | 2021-01-05 15:59:24+02:00 | WATER AND SANITATION | Commercial Services | Customer Services (Water) | Meter Management | WATER MANAGEMENT DEVICE | No Water WMD | NaN | NaN | WESBANK | -33.971099 | 18.659831 | 88ad36c49bfffff |
| 941633 | 941633 | 1016508443 | 9.109975e+09 | 2020-12-31 23:54:09+02:00 | 2021-02-23 10:38:21+02:00 | WATER AND SANITATION | Commercial Services | Customer Services (Water) | Meter Management | WATER | Leak at Water Meter / Stopcock | NaN | NaN | BIZWENI | -34.088078 | 18.862550 | 88ad36d517fffff |
941634 rows × 17 columns
# Check counts of "0" for both geodataframes.
sr_hex8[sr_hex8['h3_level8_index']=='0'].shape[0], sr_8hex_valid[sr_8hex_valid['h3_level8_index']=='0'].shape[0]
(212367, 212364)
# Check that notification numbers are all unique.
sr_hex8['notification_number'].nunique()
941634
All notification numbers are unique and fully populated. This can be used to group and run checks.
# Generate a merged comparative dataframe to run some checks.
compare_sr_hex=sr_hex8.merge(sr_8hex_valid, on='notification_number', how='left')
compare_sr_hex
| Unnamed: 0.1 | Unnamed: 0_x | notification_number | reference_number_x | creation_timestamp_x | completion_timestamp_x | directorate_x | department_x | branch_x | section_x | ... | branch_y | section_y | code_group_y | code_y | cause_code_group_y | cause_code_y | official_suburb_y | latitude_y | longitude_y | h3_level8_index_y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 400583534 | 9.109492e+09 | 2020-10-07 06:55:18+02:00 | 2020-10-08 15:36:35+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area Central | District: Blaauwberg | ... | RIM Area Central | District: Blaauwberg | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | Road (RCL) | Wear and tear | MONTAGUE GARDENS | -33.872839 | 18.522488 | 88ad360225fffff |
| 1 | 1 | 1 | 400555043 | 9.108995e+09 | 2020-07-09 16:08:13+02:00 | 2020-07-14 14:27:01+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area East | District : Somerset West | ... | RIM Area East | District : Somerset West | TD Customer complaint groups | Manhole Cover/Gully Grid | Road (RCL) | Vandalism | SOMERSET WEST | -34.078916 | 18.848940 | 88ad36d5e1fffff |
| 2 | 2 | 2 | 400589145 | 9.109614e+09 | 2020-10-27 10:21:59+02:00 | 2020-10-28 17:48:15+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area East | District : Somerset West | ... | RIM Area East | District : Somerset West | TD Customer complaint groups | Manhole Cover/Gully Grid | Road (RCL) | Vandalism | STRAND | -34.102242 | 18.821116 | 88ad36d437fffff |
| 3 | 3 | 3 | 400538915 | 9.108601e+09 | 2020-03-19 06:36:06+02:00 | 2021-03-29 20:34:19+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area North | District : Bellville | ... | RIM Area North | District : Bellville | TD Customer complaint groups | Paint Markings Lines&Signs | Road Markings | Wear and tear | RAVENSMEAD | -33.920019 | 18.607209 | 88ad361133fffff |
| 4 | 4 | 4 | 400568554 | NaN | 2020-08-25 09:48:42+02:00 | 2020-08-31 08:41:13+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area South | District : Athlone | ... | RIM Area South | District : Athlone | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | Road (RCL) | Surfacing failure | CLAREMONT | -33.987400 | 18.453760 | 88ad361709fffff |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 941629 | 941629 | 941629 | 1016508425 | 9.109974e+09 | 2020-12-31 23:49:38+02:00 | 2021-01-11 11:54:42+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | Reticulation Water Distribution | ... | Reticulation | Reticulation Water Distribution | WATER | Leak at Valve | NaN | NaN | WOODSTOCK | -33.931571 | 18.452159 | 88ad361547fffff |
| 941630 | 941630 | 941630 | 1016508432 | 9.109975e+09 | 2020-12-31 23:31:11+02:00 | 2021-01-04 11:46:28+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | NaN | ... | Reticulation | NaN | SEWER | Sewer: Blocked/Overflow | General | Foreign Objects | FISANTEKRAAL | -33.783246 | 18.716554 | 88ad3656d7fffff |
| 941631 | 941631 | 941631 | 1016508434 | 9.109975e+09 | 2020-12-31 23:58:21+02:00 | 2021-01-01 00:01:08+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | NaN | ... | Reticulation | NaN | WATER | Burst Pipe | NaN | NaN | NaN | NaN | NaN | 0 |
| 941632 | 941632 | 941632 | 1016508442 | 9.109975e+09 | 2020-12-31 23:41:57+02:00 | 2021-01-05 15:59:24+02:00 | WATER AND SANITATION | Commercial Services | Customer Services (Water) | Meter Management | ... | Customer Services (Water) | Meter Management | WATER MANAGEMENT DEVICE | No Water WMD | NaN | NaN | WESBANK | -33.971099 | 18.659831 | 88ad36c49bfffff |
| 941633 | 941633 | 941633 | 1016508443 | 9.109975e+09 | 2020-12-31 23:54:09+02:00 | 2021-02-23 10:38:21+02:00 | WATER AND SANITATION | Commercial Services | Customer Services (Water) | Meter Management | ... | Customer Services (Water) | Meter Management | WATER | Leak at Water Meter / Stopcock | NaN | NaN | BIZWENI | -34.088078 | 18.862550 | 88ad36d517fffff |
941634 rows × 36 columns
# Extract the misaligment "0" assignments.
problem_hex8=list(compare_sr_hex[(compare_sr_hex['h3_level8_index_x']=='0') & (compare_sr_hex['h3_level8_index_y']!='0')]['h3_level8_index_y'].unique())
problem_hex8
['88ad36c629fffff', '88ad361b51fffff']
# Check the problem h3 level 8 hex from the geosjon file.
hex8[hex8['index'].isin(problem_hex8)]
| index | centroid_lat | centroid_lon | geometry | Hex area (sqkm) |
|---|
These hex references do not exist in the "city-hex-polygons-8.geojson" supplied which is why the spatial joins could not be assigned. This accounts for the discrepancy for "0" assignments.
Check if these problem hex indices are part of the full H3 hex resolution levels 8, 9 and 10 file.
# Read in hex, resolution 8 spatial file.
hex8_10=gpd.read_file('20220703_231318_cpt8_10hex_geometries.geojson', driver='GeoJSON')
hex8_10
| index | centroid_lat | centroid_lon | resolution | geometry | |
|---|---|---|---|---|---|
| 0 | 88ad361801fffff | -33.859427 | 18.677843 | 8 | POLYGON ((18.68119 -33.86330, 18.68357 -33.859... |
| 1 | 88ad361803fffff | -33.855696 | 18.668766 | 8 | POLYGON ((18.67211 -33.85957, 18.67450 -33.855... |
| 2 | 88ad361805fffff | -33.855263 | 18.685959 | 8 | POLYGON ((18.68931 -33.85914, 18.69169 -33.855... |
| 3 | 88ad361807fffff | -33.851532 | 18.676881 | 8 | POLYGON ((18.68023 -33.85541, 18.68261 -33.851... |
| 4 | 88ad361809fffff | -33.867322 | 18.678806 | 8 | POLYGON ((18.68215 -33.87120, 18.68454 -33.867... |
| ... | ... | ... | ... | ... | ... |
| 203835 | 8aad36973b6ffff | -34.348444 | 18.474894 | 10 | POLYGON ((18.47537 -34.34899, 18.47571 -34.348... |
| 203836 | 8aad36973b77fff | -34.348389 | 18.477354 | 10 | POLYGON ((18.47783 -34.34894, 18.47817 -34.348... |
| 203837 | 8aad36973b8ffff | -34.345507 | 18.480703 | 10 | POLYGON ((18.48118 -34.34606, 18.48152 -34.345... |
| 203838 | 8aad36973ba7fff | -34.347161 | 18.482137 | 10 | POLYGON ((18.48262 -34.34771, 18.48296 -34.347... |
| 203839 | 8aad36973baffff | -34.346627 | 18.480839 | 10 | POLYGON ((18.48132 -34.34718, 18.48166 -34.346... |
203840 rows × 5 columns
# Check if any of the misaligned "0" level 8 hex indices occur in the large file.
hex8_10[hex8_10['index'].isin(problem_hex8)]
| index | centroid_lat | centroid_lon | resolution | geometry |
|---|
The 2 misaligned "0" level 8 hex indices do not exist in the full file, it is unclear where these indices came from.
Run an additional check to see that all the hex's per entry align.
# Check how many entries have misaligned level 8 hex indices, excluding the 2 for the '0' mismatch.
compare_sr_hex['Same Hex yes/no']=compare_sr_hex.apply(lambda x: 'yes' if x['h3_level8_index_x']==x['h3_level8_index_y'] else 'no', axis=1)
compare_sr_hex['Same Hex yes/no'].value_counts()
yes 941605 no 29 Name: Same Hex yes/no, dtype: int64
# List these unique entries and visually inspect.
compare_sr_hex[(compare_sr_hex['Same Hex yes/no']=='no') & (compare_sr_hex['h3_level8_index_x']!='0')][['notification_number', 'latitude_x', 'longitude_x','latitude_y', 'longitude_y','h3_level8_index_x', 'h3_level8_index_y']]
| notification_number | latitude_x | longitude_x | latitude_y | longitude_y | h3_level8_index_x | h3_level8_index_y | |
|---|---|---|---|---|---|---|---|
| 248172 | 1015706215 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 248443 | 1015706515 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 260685 | 1015720316 | -34.055004 | 18.817866 | -34.055004 | 18.817866 | 88ad36d5b1fffff | 88ad36d5b5fffff |
| 271704 | 1015732806 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 296215 | 1015760130 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 334038 | 1015802932 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 347502 | 1015818134 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 348394 | 1015819134 | -34.015341 | 18.610848 | -34.015341 | 18.610848 | 88ad36135bfffff | 88ad361353fffff |
| 360592 | 1015833016 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 362621 | 1015835341 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 363158 | 1015835955 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 363465 | 1015836310 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 366451 | 1015839765 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 367314 | 1015840714 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 391924 | 1015868773 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 393728 | 1015870909 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 398552 | 1015876501 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 506268 | 1016000828 | -34.015341 | 18.610848 | -34.015341 | 18.610848 | 88ad36135bfffff | 88ad361353fffff |
| 506284 | 1016000846 | -34.015341 | 18.610848 | -34.015341 | 18.610848 | 88ad36135bfffff | 88ad361353fffff |
| 506353 | 1016000926 | -34.015341 | 18.610848 | -34.015341 | 18.610848 | 88ad36135bfffff | 88ad361353fffff |
| 506392 | 1016000973 | -34.015341 | 18.610848 | -34.015341 | 18.610848 | 88ad36135bfffff | 88ad361353fffff |
| 510959 | 1016006213 | -33.871389 | 18.512912 | -33.871389 | 18.512912 | 88ad360221fffff | 88ad360227fffff |
| 738513 | 1016271817 | -33.819384 | 18.535454 | -33.819384 | 18.535454 | 88ad360151fffff | 88ad360157fffff |
| 829911 | 1016377419 | -34.015341 | 18.610848 | -34.015341 | 18.610848 | 88ad36135bfffff | 88ad361353fffff |
| 830464 | 1016378097 | -34.015341 | 18.610848 | -34.015341 | 18.610848 | 88ad36135bfffff | 88ad361353fffff |
| 830797 | 1016378485 | -34.015341 | 18.610848 | -34.015341 | 18.610848 | 88ad36135bfffff | 88ad361353fffff |
# Get a unique list of the mismatched level 8 hex indices from the pre-joined file.
mismatch_hex8=list(compare_sr_hex[(compare_sr_hex['Same Hex yes/no']=='no') & (compare_sr_hex['h3_level8_index_x']!='0')]['h3_level8_index_y'].unique())
mismatch_hex8
['88ad360227fffff', '88ad36d5b5fffff', '88ad361353fffff', '88ad360157fffff']
# Check that all exists in the supplied hex8 geojson file.
[x for x in mismatch_hex8 if x not in hex8['index'].tolist()]
[]
All the mismatched level 8 hex indices do exist in the supplied hex8 geojson file.
hex8[hex8['index'].isin(mismatch_hex8)]
| index | centroid_lat | centroid_lon | geometry | Hex area (sqkm) | |
|---|---|---|---|---|---|
| 975 | 88ad360157fffff | -33.815443 | 18.534616 | POLYGON ((18.53796 -33.81932, 18.54034 -33.815... | 0.700345 |
| 1048 | 88ad360227fffff | -33.867380 | 18.515058 | POLYGON ((18.51840 -33.87126, 18.52078 -33.867... | 0.699523 |
| 1457 | 88ad361353fffff | -34.011408 | 18.610119 | POLYGON ((18.61347 -34.01528, 18.61585 -34.011... | 0.698107 |
| 3036 | 88ad36d5b5fffff | -34.053525 | 18.822451 | POLYGON ((18.82581 -34.05739, 18.82819 -34.053... | 0.698744 |
# Check with basic intersections if the supplied pre-joined assigments work.
[
hex8['geometry'][975].contains(Point(18.610848, -34.015341)), #88ad360157fffff
hex8['geometry'][1048].contains(Point(18.512912, -33.871389)), #88ad360227fffff
hex8['geometry'][1457].contains(Point(18.610848, -34.015341)), #88ad361353fffff
hex8['geometry'][3036].contains(Point(18.817866, -34.055004)), #88ad36d5b5fffff
]
[False, False, True, False]
For 3/4 the intersection do no work which indicates the pre-compiled 'sr_hex.csv.gz' (source code for joins) needs further investigation to assess why these joins occurred. However, level 8 hex index 88ad36d5b5fffff did intersect with its corresponding points, this could be due to overlapping hex's, with the point lying in the overlap.
# View all 3 geometries.
GeometryCollection(hex8[hex8['index'].isin(['88ad36135bfffff','88ad361353fffff'])]['geometry'].tolist()+[(Point(18.610848, -34.015341))])
From the image it seems that the Point(18.610848, -34.015341) lies in both hex's, check for hex overlap.
# View common area of two hexes.
hex8[hex8['index']=='88ad36135bfffff']['geometry'].item().intersection(hex8[hex8['index']=='88ad361353fffff']['geometry'].item())
# Check type of common area.
type(hex8[hex8['index']=='88ad36135bfffff']['geometry'].item().intersection(hex8[hex8['index']=='88ad361353fffff']['geometry'].item()))
shapely.geometry.linestring.LineString
# Calculate shortest distance between common linestring and Point.
closest_distance(hex8[hex8['index']=='88ad36135bfffff']['geometry'].item().intersection(hex8[hex8['index']=='88ad361353fffff']['geometry'].item()), Point(18.610848, -34.015341))
0.0
It appears that the points falls onto this linestring and thus occurs in both. To prevent this from happening again, attempt to regenerate the H3 hex grids and check for this overlap. Additionally what can be done is that geopandas overlay an be used per hex against surrounding hex's to remove the overlap (specifically, geopandas.overlay(... how='difference'))
Using the sr_hex.csv dataset perform the following:
Section 2.1:
# Read in provided file.
sr_hex=pd.read_csv('20220703_231236_service_requests_8hex.csv')
sr_hex.head(10)
| Unnamed: 0 | notification_number | reference_number | creation_timestamp | completion_timestamp | directorate | department | branch | section | code_group | code | cause_code_group | cause_code | official_suburb | latitude | longitude | h3_level8_index | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 400583534 | 9.109492e+09 | 2020-10-07 06:55:18+02:00 | 2020-10-08 15:36:35+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area Central | District: Blaauwberg | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | Road (RCL) | Wear and tear | MONTAGUE GARDENS | -33.872839 | 18.522488 | 88ad360225fffff |
| 1 | 1 | 400555043 | 9.108995e+09 | 2020-07-09 16:08:13+02:00 | 2020-07-14 14:27:01+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area East | District : Somerset West | TD Customer complaint groups | Manhole Cover/Gully Grid | Road (RCL) | Vandalism | SOMERSET WEST | -34.078916 | 18.848940 | 88ad36d5e1fffff |
| 2 | 2 | 400589145 | 9.109614e+09 | 2020-10-27 10:21:59+02:00 | 2020-10-28 17:48:15+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area East | District : Somerset West | TD Customer complaint groups | Manhole Cover/Gully Grid | Road (RCL) | Vandalism | STRAND | -34.102242 | 18.821116 | 88ad36d437fffff |
| 3 | 3 | 400538915 | 9.108601e+09 | 2020-03-19 06:36:06+02:00 | 2021-03-29 20:34:19+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area North | District : Bellville | TD Customer complaint groups | Paint Markings Lines&Signs | Road Markings | Wear and tear | RAVENSMEAD | -33.920019 | 18.607209 | 88ad361133fffff |
| 4 | 4 | 400568554 | NaN | 2020-08-25 09:48:42+02:00 | 2020-08-31 08:41:13+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area South | District : Athlone | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | Road (RCL) | Surfacing failure | CLAREMONT | -33.987400 | 18.453760 | 88ad361709fffff |
| 5 | 5 | 400556029 | 9.109003e+09 | 2020-07-11 10:34:37+02:00 | 2020-07-21 12:35:53+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area East | District : Somerset West | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | Road (RCL) | Base failure | STRAND | -34.119520 | 18.829917 | 88ad36d43dfffff |
| 6 | 6 | 400588369 | NaN | 2020-10-23 10:33:48+02:00 | 2020-10-26 14:16:49+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area North | District : Bellville | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | NaN | NaN | GLENHAVEN | -33.917996 | 18.658031 | 88ad361a19fffff |
| 7 | 7 | 400549080 | NaN | 2020-06-17 15:46:11+02:00 | 2020-11-24 14:26:09+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area North | District : Bellville | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | NaN | NaN | RAVENSMEAD | -33.922154 | 18.596821 | 88ad3611edfffff |
| 8 | 8 | 400599701 | 9.109845e+09 | 2020-12-04 08:30:50+02:00 | 2020-12-14 12:53:52+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area Central | District: Cape Town | TD Customer complaint groups | Block Pipe/Chan/Canal/Drain/Gully/Manh | NaN | NaN | CAPE TOWN CITY CENTRE | -33.925721 | 18.421675 | 88ad361519fffff |
| 9 | 9 | 400569986 | NaN | 2020-08-28 13:37:53+02:00 | 2020-08-28 16:17:35+02:00 | URBAN MOBILITY | Roads Infrastructure Management | RIM Area North | District : Kraaifontein | TD Customer complaint groups | Pothole&Defect Road Foot Bic Way/Kerbs | Road (RCL) | Surfacing failure | DURBANVILLE | -33.835098 | 18.652708 | 88ad3618e5fffff |
# Diagnose data sparsity.
msno.bar(sr_hex)
<AxesSubplot:>
The graph above provides a visual for the level of data sparsity. This should both assist in choosing the relevant column to use for "type" as well as reliable count column during the application of the groupby function.
Although "cause_code" is more descriptive the data provided is sparse. It was thus deciced to instead use "code" as the type.
There are a few columns which are fully populated and canbe used as the groupby count column, "notification number" was chosen.
# Reshape the data into number of requests created, per type, per H3 level 8 hex in the last 12 months.
sr_hex_types=sr_hex.groupby(['code', 'h3_level8_index'])['notification_number'].count().reset_index()
sr_hex_types
| code | h3_level8_index | notification_number | |
|---|---|---|---|
| 0 | AWS: Enquiry | 0 | 5 |
| 1 | AWS: Enquiry | 88ad3612c3fffff | 2 |
| 2 | AWS: Enquiry | 88ad361887fffff | 1 |
| 3 | AWS: Enquiry | 88ad361a31fffff | 1 |
| 4 | AWS: Enquiry | 88ad368d03fffff | 1 |
| ... | ... | ... | ... |
| 102707 | Wires Down | 88ad36d5cbfffff | 5 |
| 102708 | Wires Down | 88ad36d5cdfffff | 2 |
| 102709 | Wires Down | 88ad36d703fffff | 1 |
| 102710 | Wires Down | 88ad36d711fffff | 2 |
| 102711 | Wires Down | 88ad36d717fffff | 4 |
102712 rows × 3 columns
To choose the "type" of service request for this analysis a few variables were consdidered i.e. the spatial distribution, total 12 month counts and weekly counts. The most data rich "type" will be chosen from these 3 variables.
# Calculate the total numbers of level 8 Hexs each service request type occurs in.
sr_hex_types['code'].value_counts().reset_index()
| index | code | |
|---|---|---|
| 0 | Sewer: Blocked/Overflow | 1502 |
| 1 | No Power | 1400 |
| 2 | No Water WMD | 1327 |
| 3 | No Water Supply | 1312 |
| 4 | Broken Leading | 1301 |
| ... | ... | ... |
| 487 | Vendor Software (Detail in Sort Field) | 1 |
| 488 | Assaults | 1 |
| 489 | Conflicting Stages of Traffic Signals | 1 |
| 490 | Government Accounts | 1 |
| 491 | Drop-Off : Operating Times | 1 |
492 rows × 2 columns
# Calculate the total number of the service requests per type of the time period provided.
sr_hex_types.groupby(['code'])['notification_number'].sum().reset_index().sort_values(by=['notification_number'], ascending=False).reset_index(drop=True)
| code | notification_number | |
|---|---|---|
| 0 | Sewer: Blocked/Overflow | 134429 |
| 1 | No Power | 106601 |
| 2 | No Water WMD | 53923 |
| 3 | Street Lights - All Lights Out | 39359 |
| 4 | Street Lights - Single Light Out | 38206 |
| ... | ... | ... |
| 487 | Pre-Paid Vendor Reconciliation | 1 |
| 488 | R003 - Difference in Unit Price | 1 |
| 489 | Waste Service Provider Query | 1 |
| 490 | Drop-Off : Operating Times | 1 |
| 491 | Expected Payment Date Confirmation | 1 |
492 rows × 2 columns
# Calculate the total number of weekly information per service request type for the period provided.
# Confirm before proceeding that all creation dates are in 2020.
sr_hex['year']=sr_hex['creation_timestamp'].apply(lambda x: x[:4])
sr_hex['year'].value_counts()
2020 941634 Name: year, dtype: int64
# Export week number for each creation date.
sr_hex['week']=sr_hex['creation_timestamp'].apply(lambda x: int(datetime.datetime.fromisoformat(x).strftime("%V")))
sr_hex['week'].value_counts()
29 24251 45 22864 41 22758 40 22670 42 22466 37 22335 50 22258 49 22219 4 21981 3 21876 10 21844 46 21713 36 21587 43 21507 5 21167 44 20972 34 20673 8 20641 6 20630 7 20618 48 20606 38 20341 9 20321 28 20252 11 20089 12 19578 2 19571 30 19451 47 19442 32 19354 35 19209 31 17866 27 17718 33 17594 39 17371 51 17194 26 16855 24 16297 23 14554 25 14473 13 14278 52 14237 22 13591 21 10518 53 10287 20 10220 19 10092 14 9605 1 9303 15 8979 16 8868 17 8520 18 7970 Name: week, dtype: int64
sr_hex.groupby(['code'])['week'].nunique().reset_index().sort_values(by=['week'], ascending=False).head(10).reset_index(drop=True)
| code | week | |
|---|---|---|
| 0 | Wires Down | 53 |
| 1 | Internal : Billing / Adjustment Queries | 53 |
| 2 | Sewer: Pipe Broken | 53 |
| 3 | Sewer: Manhole Cover: Stolen/Missing | 53 |
| 4 | DO NOT USE: Meter Aqualoc Fault | 53 |
| 5 | Damaged Bin - 240L | 53 |
| 6 | Sewer: Manhole Cover: Damaged | 53 |
| 7 | Sewer: Foul Smell | 53 |
| 8 | Sewer: Blocked/Overflow | 53 |
| 9 | Street People | 53 |
From the above analysis I'd recommened using "Sewer: Blocked/Overflow" as it has the most counts, over the most hexes over the full year. An additional step could be used to look at the number of weeks per hex per type (a more in depth chose based on spatial and time series per type), however it was ultimately decided that this would be sufficient in choosing the type considering time and benefit.
# Filter for the chosen service request type.
service_rtype='Sewer: Blocked/Overflow'
sr_hex_sewers=sr_hex[sr_hex['code']==service_rtype].reset_index(drop=True)
sr_hex_sewers
| Unnamed: 0 | notification_number | reference_number | creation_timestamp | completion_timestamp | directorate | department | branch | section | code_group | code | cause_code_group | cause_code | official_suburb | latitude | longitude | h3_level8_index | year | week | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 481 | 1016495961 | 9.109952e+09 | 2020-12-26 20:17:23+02:00 | 2020-12-27 14:48:03+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | Reticulation WW Conveyance | SEWER | Sewer: Blocked/Overflow | NaN | NaN | BONTEHEUWEL | -33.949790 | 18.547810 | 88ad361033fffff | 2020 | 52 |
| 1 | 603 | 1015764939 | 9.108671e+09 | 2020-04-11 09:54:09+02:00 | 2020-06-26 12:50:51+02:00 | HUMAN SETTLEMENTS | Home Ownership Transfer, Tenancy Management an... | Upgrades and Maintenance | Area South | SEWER | Sewer: Blocked/Overflow | NaN | NaN | LAVENDER HILL | -34.069183 | 18.483887 | 88ad368c21fffff | 2020 | 15 |
| 2 | 614 | 1015936877 | 9.108978e+09 | 2020-07-07 05:48:39+02:00 | 2020-07-07 08:26:05+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | Reticulation WW Conveyance | SEWER | Sewer: Blocked/Overflow | NaN | NaN | GUGULETU | -33.975780 | 18.572910 | 88ad361001fffff | 2020 | 28 |
| 3 | 631 | 1016411914 | 9.109811e+09 | 2020-11-29 14:23:49+02:00 | 2020-11-29 16:34:11+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | Reticulation WW Conveyance | SEWER | Sewer: Blocked/Overflow | NaN | NaN | TAFELSIG | -34.054190 | 18.641240 | 88ad368981fffff | 2020 | 48 |
| 4 | 1209 | 1015972707 | NaN | 2020-07-16 14:26:40+02:00 | 2020-07-19 17:17:18+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | Reticulation WW Conveyance | SEWER | Sewer: Blocked/Overflow | NaN | NaN | NYANGA | -33.984780 | 18.576290 | 88ad361047fffff | 2020 | 29 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 134424 | 941621 | 1016508414 | 9.109974e+09 | 2020-12-31 22:27:13+02:00 | 2021-01-11 11:37:05+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | Reticulation WW Conveyance | SEWER | Sewer: Blocked/Overflow | NaN | NaN | GRACELAND | -34.041223 | 18.674784 | 88ad36c6d3fffff | 2020 | 53 |
| 134425 | 941624 | 1016508417 | 9.109974e+09 | 2020-12-31 22:55:25+02:00 | 2021-01-06 08:05:40+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | Reticulation WW Conveyance | SEWER | Sewer: Blocked/Overflow | NaN | NaN | AVON | -33.920677 | 18.566713 | 88ad361181fffff | 2020 | 53 |
| 134426 | 941626 | 1016508422 | 9.109975e+09 | 2020-12-31 23:10:01+02:00 | 2021-01-02 08:32:18+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | Reticulation WW Conveyance | SEWER | Sewer: Blocked/Overflow | General | Rags | LANGA | -33.947924 | 18.532356 | 88ad3610e1fffff | 2020 | 53 |
| 134427 | 941628 | 1016508424 | 9.109975e+09 | 2020-12-31 23:24:26+02:00 | 2021-01-01 08:56:05+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | Reticulation WW Conveyance | SEWER | Sewer: Blocked/Overflow | NaN | NaN | NaN | NaN | NaN | 0 | 2020 | 53 |
| 134428 | 941630 | 1016508432 | 9.109975e+09 | 2020-12-31 23:31:11+02:00 | 2021-01-04 11:46:28+02:00 | WATER AND SANITATION | Distribution Services | Reticulation | NaN | SEWER | Sewer: Blocked/Overflow | General | Foreign Objects | FISANTEKRAAL | -33.783246 | 18.716554 | 88ad3656d7fffff | 2020 | 53 |
134429 rows × 19 columns
To continue with the predictive model, seasonality must be considered, for example, certain requests might be more prevalent in certain times of the year for a particular request type and area, thus a simple univariate linear regression model might not suffice. Ultimately the following will be attempted.
Approach each hex as a single univariate regression excercise. This will still retain the spatial component as the regression model will be developed per hex. The downside of this is that spatial neighbouring effects will not be clearly representated as that of, for example, a "space-time" regression model.
For this reason, I have decided to use the univariate regression model, SARIMA (Seasonal Autoregressive Integrated Moving-Average) to cater for both trend and seasonality. The downside of this is that typically SARIMA models require visual investagation of both the Autocorrelation and Partial auto-correlation to inform the p,d,q,P,D and Q values. For ease of use an auto ARIMA module was used that tunes these hyperparameters and chooses the best fit.
An ADF test will be used to assess for the time series data bein stationary or not and based on this, either the auto ARIMA (for non-stationary) or Ridge regressor (for stationary) will be applied.
The kfold stratification used in the Ridge Regressor will be adjusted if it is found that samples sizes are too low. Additionally, the ridge regressor will be assessed with alpha values ranging from 0 to 1 in 0.1 increments, to optimise fitting.
For the auto ARIMA model, zeros have been added where there was no data to produce a full annual weekly profile.
# Check if all level 8 hex's for the service request type have 53 values, if not add zeros.
sr_hex_sewers.groupby(['h3_level8_index'])['week'].nunique().reset_index().sort_values(by=['week'], ascending=False)
| h3_level8_index | week | |
|---|---|---|
| 0 | 0 | 53 |
| 1440 | 88ad36d55bfffff | 53 |
| 393 | 88ad361231fffff | 53 |
| 190 | 88ad361003fffff | 53 |
| 1400 | 88ad36d423fffff | 53 |
| ... | ... | ... |
| 318 | 88ad361159fffff | 1 |
| 306 | 88ad361135fffff | 1 |
| 1217 | 88ad368ee1fffff | 1 |
| 1219 | 88ad368eebfffff | 1 |
| 1501 | 88ad36d73dfffff | 1 |
1502 rows × 2 columns
# Specify function annotations.
adf_test_rdme={
'type':str,
'units':'binary - Stationary or Non-Stationary',
'docstring':'Function takes in a df subset (service request and hex), reshapes, and runs the Augmented Dickey–Fuller test (ADF test) test to calculate the p-value and defines where the dataset is a stationary time series or not.'
}
# Define function.
def adf_test(sr_hex_subset)->adf_test_rdme:
sorted_notifcations=sr_hex_subset.groupby(['week'])['notification_number'].count().reset_index().sort_values(by=['week'], ascending=True)['notification_number']
result=adfuller(sorted_notifcations)
pvalue=result[1]
if pvalue<=0.05:
return 'Stationary'
else:
return 'Non-stationary'
# Check which level 8 hex's for the chosen service request has stationary, non-stationary or too few points for the ADF test.
adf_results=[]
for hex in sr_hex_sewers['h3_level8_index'].unique():
try:
adf_results.append([hex, adf_test(sr_hex_sewers[sr_hex_sewers['h3_level8_index']==hex])])
except ValueError:
adf_results.append([hex, 'Too little points/Division by Zero'])
C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning: divide by zero encountered in log
# Store ADF results in a dataframe.
adf_results_pd=pd.DataFrame(adf_results, columns=['h3_level8_index', 'ADF result'])
adf_results_pd
| h3_level8_index | ADF result | |
|---|---|---|
| 0 | 88ad361033fffff | Stationary |
| 1 | 88ad368c21fffff | Stationary |
| 2 | 88ad361001fffff | Stationary |
| 3 | 88ad368981fffff | Stationary |
| 4 | 88ad361047fffff | Stationary |
| ... | ... | ... |
| 1497 | 88ad361469fffff | Too little points/Division by Zero |
| 1498 | 88ad360f51fffff | Too little points/Division by Zero |
| 1499 | 88ad368727fffff | Too little points/Division by Zero |
| 1500 | 88ad361627fffff | Too little points/Division by Zero |
| 1501 | 88ad36d71bfffff | Too little points/Division by Zero |
1502 rows × 2 columns
# Summarise adf results.
adf_results_pd['ADF result'].value_counts()
Stationary 833 Non-stationary 408 Too little points/Division by Zero 261 Name: ADF result, dtype: int64
The bulk of the profiles are stationary, thus a Ridge Regressor will be applied here. As the count of profiles with "Too little points/Division by Zero" is quite high, the Ridge Regressor will be attempted on these, however id the sample size it too low then the hex profile will be abandoned and the log file updated.
# Sumamrise the all level 8 hex's with ADF results=='Too little points/Division by Zero' service request counts.
sr_hex_sewers[sr_hex_sewers['h3_level8_index'].isin(adf_results_pd[adf_results_pd['ADF result']=='Too little points/Division by Zero']['h3_level8_index'].unique())].groupby(['h3_level8_index'])['week'].nunique().reset_index().sort_values(by=['week'], ascending=False)
| h3_level8_index | week | |
|---|---|---|
| 82 | 88ad361561fffff | 3 |
| 245 | 88ad36d531fffff | 3 |
| 34 | 88ad360a85fffff | 3 |
| 168 | 88ad3685e7fffff | 3 |
| 240 | 88ad36d093fffff | 3 |
| ... | ... | ... |
| 113 | 88ad361999fffff | 1 |
| 114 | 88ad3619e5fffff | 1 |
| 116 | 88ad361a05fffff | 1 |
| 120 | 88ad361a61fffff | 1 |
| 260 | 88ad36d73dfffff | 1 |
261 rows × 2 columns
# Check the service request count distribution of all level 8 hex's with ADF results=='Too little points/Division by Zero'.
sr_hex_sewers[sr_hex_sewers['h3_level8_index'].isin(adf_results_pd[adf_results_pd['ADF result']=='Too little points/Division by Zero']['h3_level8_index'].unique())].groupby(['h3_level8_index'])['week'].nunique().reset_index().describe()
| week | |
|---|---|
| count | 261.000000 |
| mean | 1.605364 |
| std | 0.755372 |
| min | 1.000000 |
| 25% | 1.000000 |
| 50% | 1.000000 |
| 75% | 2.000000 |
| max | 3.000000 |
Not that based on the summary statistics above the maximum number number of week is 3. It was thus decided to change the kfold split to 3, to increase the pool of samples upon which the regression would be applied. Any hex with lower than this will not be forecasted, but instead added as an error output in the log.
# Create subsection in logging file.
logging.info(' Hex regression error section:')
logging.info('-'*50)
# Specify function annotations.
ridge_reg_rdme={
'type':dict,
'units':"""multiple outputs include:
model - Regressor Model object,
alpha - float,
last_week - int,
n4weeks_predict - array,
sorted_weeks_all - dataframe,
fig - plotly graph object
""",
'docstring':"""Function runs a Ridge Regressor on the level 8 hex subset and outputs a dictionary of key objects, namely:
model - Regressor Model,
alpha - best alpha value chosen from tuning hyperparameters,
last_week - last week for the service request hex subset entered,
n4weeks_predict - array of the predicted next 4 weeks,
sorted_weeks_all - dataframe that contains the joined dataset of the input X, Y data and the predicted X, Y data ,
fig - plotly graph showing the "sorted_weeks_all" dataset.
"""
}
# Define function.
def ridge_reg(sr_hex_subset)->ridge_reg_rdme:
# Get details of subset index.
sr=list(sr_hex_subset['code'].unique())[0]
hex_=list(sr_hex_subset['h3_level8_index'].unique())[0]
# Setup dataset.
sorted_weeks_nots=sr_hex_subset.groupby(['week'])['notification_number'].count().reset_index().sort_values(by=['week'], ascending=True)
data = sorted_weeks_nots.values
X, y = data[:, :-1], data[:, -1]
# Define model evaluation method.
cv = RepeatedKFold(n_splits=3, n_repeats=3, random_state=1)
# Define model.
model = RidgeCV(alphas=arange(0, 1, 0.01), cv=cv, scoring='neg_mean_absolute_error')
# Fit model.
try:
model.fit(X, y)
alpha=model.alpha_ #Best fit alpha value chosen.
# Run prediction on next 4 weeks.
#----------------#
# Find last week in the subset of data.
last_week=sorted_weeks_nots['week'].max() #Find the last reported week in the data subset.
# Make a prediction from the last week going forward.
n4weeks=arange(last_week, last_week+4, 1)
n4weeks_predict=model.predict(n4weeks.reshape(-1, 1))
# Setup figure to view output of prediction.
predict=pd.DataFrame(list(zip(n4weeks, n4weeks_predict)), columns=['week', 'notification_number'])
predict['Data source']='Prediction'
sorted_weeks_nots['Data source']='Actual'
sorted_weeks_all=sorted_weeks_nots.append(predict).reset_index(drop=True)
fig=px.line(sorted_weeks_all, x="week", y="notification_number", color='Data source')
#----------------#
# Create dictionary for export:
ridge_dict={
'model':model,
'alpha':alpha,
'last_week_of_data':last_week,
'predicted_next_4_weeks':n4weeks_predict,
'Merged_dataframe':sorted_weeks_all,
'plot':fig,
}
return ridge_dict
except ValueError:
# Export log message.
logging.error('Level 8 hexgaon {} for service request type {}, had too few weekly samples to proceed with the ridge regression model.'.format(hex_, sr))
# Create dictionary for export:
ridge_dict={
'model':0,
'alpha':0,
'last_week_of_data':0,
'predicted_next_4_weeks':0,
'Merged_dataframe':0,
'plot':0,
}
return ridge_dict
# Specify function annotations.
auto_arima_rdme={
'type':dict,
'units':"""multiple outputs include:
'model' - Auto_arima Model object,
'last_week_of_data' - int,
'predicted_next_4_weeks' - array,
'Merged_dataframe' - dataframe,
'plot' - plotly graph object
""",
'docstring':"""Function runs a Auto ARIMA Regressor on the level 8 hex subset and outputs a dictionary of key objects, namely:
'model' - Auto_arima Model,
'last_week_of_data' - last week for the service request hex subset entered,
'predicted_next_4_weeks' - array of the predicted next 4 weeks,
'Merged_dataframe' - dataframe that contains the joined dataset of the input X, Y data and the predicted X, Y data ,
'plot' - plotly graph showing the "sorted_weeks_all" dataset.
"""
}
# Define function.
def auto_arima(sr_hex_subset)->auto_arima_rdme:
# Get details of subset index.
sr=list(sr_hex_subset['code'].unique())[0]
hex_=list(sr_hex_subset['h3_level8_index'].unique())[0]
# Setup dataset.
sorted_weeks_nots=sr_hex_subset.groupby(['week'])['notification_number'].count().reset_index().sort_values(by=['week'], ascending=True)
weeks=list(sorted_weeks_nots['week'].unique())
last_week=max(weeks)
# ARIMA assumes not breaks in data, add zero values to missing weeks.
missing_weeks=pd.DataFrame([(x,0) for x in list(np.arange(0, 53, 1)) if x not in weeks if x<=max(weeks)], columns=['week', 'notification_number'])
# Append missing set to subset.
sorted_weeks_nots_add=sorted_weeks_nots.append(missing_weeks).sort_values(by=['week'], ascending=True).reset_index(drop=True)
data = sorted_weeks_nots_add.values
X, y = data[:, :-1], data[:, -1]
# Setup Model.
model = pm.auto_arima(y, start_p=1, start_q=1,
test='adf',
max_p=3, max_q=3,
m=1,
d=None,
seasonal=True,
start_P=0,
D=0,
trace=True,
error_action='ignore',
suppress_warnings=True,
stepwise=True)
# Apply prediction.
predict_weeks = 4
prediction, conf_int = model.predict(n_periods=predict_weeks, return_conf_int=True)
index_of_fc = np.arange(len(y), len(y)+predict_weeks)
# Setup figure to view output of prediction.
predict=pd.DataFrame(list(zip(index_of_fc, prediction)), columns=['week', 'notification_number'])
predict['Data source']='Prediction'
sorted_weeks_nots_add['Data source']='Actual'
sorted_weeks_all=sorted_weeks_nots_add.append(predict).reset_index(drop=True)
fig=px.line(sorted_weeks_all, x="week", y="notification_number", color='Data source')
#----------------#
# Create dictionary for export:
auto_arima_dict={
'model':model,
'last_week_of_data':last_week,
'predicted_next_4_weeks':list(prediction),
'Merged_dataframe':sorted_weeks_all,
'plot':fig,
}
return auto_arima_dict
TEST A FEW HEX SAMPLES
For ease of analysis the notifcation number was used for grouping and count per hex per week. The y axis count for "notification number" is actually the total number of requests for the chosen service request type for that hex for that week.
# Ridge Regressiion test for "Stationary"
test_stat=sr_hex_sewers[sr_hex_sewers['h3_level8_index']=='88ad36d55bfffff']
ridge_reg(test_stat)['plot']
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
# Ridge Regressiion test for "Too little points/Division by Zero": SAMPLES greater than KFOLD.
test_low_points_grtr_kfold=sr_hex_sewers[sr_hex_sewers['h3_level8_index']=='88ad3685e7fffff']
ridge_reg(test_low_points_grtr_kfold)['plot']
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
# Ridge Regressiion test for "Too little points/Division by Zero": SAMPLES less than KFOLD.
test_low_points=sr_hex_sewers[sr_hex_sewers['h3_level8_index']=='88ad361213fffff']
ridge_reg(test_low_points)['plot']
0
# SARIMA test of non-stationary dataset.
test_non_stat=sr_hex_sewers[sr_hex_sewers['h3_level8_index']=='88ad3612a1fffff']
auto_arima(test_non_stat)['plot']
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=217.013, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=217.199, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=216.289, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=273.895, Time=0.00 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=216.389, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=262.652, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.194 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
The downside of adding zeros for the auto ARIMA model is that the overall trend line can be shifted down. Future improvements should instread not apply the model to hex profiles where the sample size is lower than 40 samples. This is due to seasonality not being accurately depicted for lower than these sample counts.
RUN MODEL FOR ALL HEXES
# Run the regression model for all the hex's of the chosen service request type for the full year.
regress_results=[]
start=time.time()
for index, row in adf_results_pd.iterrows():
if row['ADF result']=='Stationary' or row['ADF result']=='Too little points/Division by Zero':
regress_results.append([
row['h3_level8_index'],
ridge_reg(sr_hex_sewers[sr_hex_sewers['h3_level8_index']==row['h3_level8_index']])['predicted_next_4_weeks'],
'Ridge'])
else:
regress_results.append([
row['h3_level8_index'],
auto_arima(sr_hex_sewers[sr_hex_sewers['h3_level8_index']==row['h3_level8_index']])['predicted_next_4_weeks'],
'Ridge'])
duration=round(time.time()-start, 4)
print('Processing took {} seconds'.format(duration))
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=263.532, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=269.842, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=261.751, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=261.546, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=267.851, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=263.541, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=265.371, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=259.548, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=261.536, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=261.543, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=259.758, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=263.374, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.131 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=222.104, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=239.492, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=222.672, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=221.770, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=237.507, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=221.532, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=223.526, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] intercept : AIC=223.515, Time=0.02 sec ARIMA(1,1,3)(0,0,0)[0] intercept : AIC=225.417, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=219.622, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=219.807, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=221.615, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=221.604, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=220.174, Time=0.01 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=223.505, Time=0.03 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.221 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=226.958, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=217.337, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=224.962, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=205.296, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=205.568, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=203.353, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=215.342, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=203.690, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=200.034, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=198.651, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=196.652, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=198.651, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.422 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=350.661, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=338.135, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=348.663, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=326.044, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=327.829, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=327.738, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=324.239, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=336.145, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=325.987, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=325.887, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=327.565, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.399 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=127.452, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=126.209, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=125.762, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=125.455, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=146.040, Time=0.01 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=127.446, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=127.034, Time=0.04 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=146.640, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.115 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=347.070, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=359.598, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=347.607, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=345.082, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=357.602, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=347.075, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=348.981, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=343.085, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=345.071, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=345.077, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=345.608, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=346.982, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.152 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=176.507, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=167.878, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=174.518, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=160.740, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=159.597, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=157.600, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=158.746, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=152.579, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=150.630, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=149.370, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=147.370, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=149.370, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=165.891, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.465 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=194.622, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=181.152, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=192.810, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=181.508, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=179.221, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=179.588, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=inf, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(1,1,0)(0,0,0)[0] Total fit time: 0.288 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=120.446, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=117.240, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=111.499, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=118.589, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=110.275, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=108.800, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=115.399, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=110.790, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=110.795, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=109.564, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=116.548, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=112.195, Time=0.04 sec Best model: ARIMA(1,1,1)(0,0,0)[0] Total fit time: 0.384 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=191.980, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=180.882, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=190.107, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=179.298, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=174.616, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=172.793, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=177.482, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.457 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=256.601, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=253.728, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=255.207, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=255.360, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=306.929, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.048 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=277.775, Time=0.01 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=237.772, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.02 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=221.396, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=219.312, Time=0.01 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(3,2,0)(0,0,0)[0] intercept : AIC=221.257, Time=0.02 sec Best model: ARIMA(3,2,0)(0,0,0)[0] Total fit time: 0.220 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=226.206, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=231.458, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=230.542, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=231.630, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=281.645, Time=0.00 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=226.995, Time=0.04 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=227.400, Time=0.04 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=228.020, Time=0.01 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=226.064, Time=0.01 sec ARIMA(3,0,0)(0,0,0)[0] intercept : AIC=227.312, Time=0.02 sec ARIMA(3,0,1)(0,0,0)[0] intercept : AIC=229.312, Time=0.03 sec ARIMA(2,0,0)(0,0,0)[0] : AIC=230.974, Time=0.01 sec Best model: ARIMA(2,0,0)(0,0,0)[0] intercept Total fit time: 0.219 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=230.744, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=231.938, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=231.570, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=230.088, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=255.548, Time=0.00 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=230.479, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=232.466, Time=0.03 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=243.020, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.087 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=317.501, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=332.314, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=319.907, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=316.025, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=330.320, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=317.306, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=319.239, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=314.025, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=315.501, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=315.306, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=317.918, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=317.239, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.131 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=308.864, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=303.099, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=306.924, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=285.835, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=287.827, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=287.778, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.14 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=283.899, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=301.157, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=285.891, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=285.841, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=285.911, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.411 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=212.888, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=233.336, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=223.635, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=211.074, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=231.340, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=212.885, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=215.035, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=209.118, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=210.939, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=210.936, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=221.646, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=213.079, Time=0.01 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.141 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=165.460, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=152.347, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=140.787, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=163.519, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=139.614, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=141.464, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=141.522, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=150.592, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=142.790, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.322 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=416.874, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=410.169, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=415.010, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=406.669, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=402.134, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=401.144, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=405.304, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=402.294, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=401.111, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=399.917, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=398.054, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=399.864, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=408.550, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=401.763, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.441 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=217.013, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=217.199, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=216.289, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=273.895, Time=0.00 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=216.389, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=262.652, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.191 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=287.039, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=289.903, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=291.051, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=291.235, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=333.956, Time=0.00 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=288.081, Time=0.05 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=287.990, Time=0.06 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=292.007, Time=0.02 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=291.401, Time=0.02 sec ARIMA(2,0,2)(0,0,0)[0] intercept : AIC=inf, Time=0.12 sec ARIMA(1,0,1)(0,0,0)[0] : AIC=287.017, Time=0.03 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=320.065, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=309.285, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] : AIC=287.985, Time=0.03 sec ARIMA(1,0,2)(0,0,0)[0] : AIC=287.892, Time=0.02 sec ARIMA(0,0,2)(0,0,0)[0] : AIC=317.047, Time=0.01 sec ARIMA(2,0,0)(0,0,0)[0] : AIC=299.774, Time=0.01 sec ARIMA(2,0,2)(0,0,0)[0] : AIC=290.499, Time=0.03 sec Best model: ARIMA(1,0,1)(0,0,0)[0] Total fit time: 0.487 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=286.049, Time=0.06 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=285.008, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=286.108, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=286.157, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=356.457, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.094 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=150.107, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=147.677, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=148.598, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=148.430, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=164.034, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.052 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=223.405, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=218.656, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=210.966, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=221.451, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=211.040, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=208.986, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=209.045, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=216.736, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.312 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=184.327, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=181.164, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=182.977, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=182.995, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=211.484, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.051 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=151.980, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=148.434, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=150.338, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=150.326, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=174.406, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.055 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=104.526, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=106.127, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=105.974, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=120.449, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.087 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=182.926, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=181.626, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=182.702, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=182.256, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=212.532, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.045 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=185.421, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=182.405, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=183.538, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=183.663, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=218.661, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.044 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=259.350, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=264.495, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=257.783, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=259.155, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=328.299, Time=0.00 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=259.429, Time=0.02 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=261.349, Time=0.03 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=270.675, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.094 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=329.185, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=335.663, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=328.844, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=330.923, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=402.094, Time=0.00 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=330.309, Time=0.02 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=330.221, Time=0.07 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=340.792, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.170 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=142.326, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=125.112, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=140.348, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=123.892, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=118.671, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=116.702, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=121.892, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.463 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=257.219, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=257.354, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=255.219, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=255.947, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=307.110, Time=0.00 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=257.219, Time=0.02 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=256.508, Time=0.09 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=292.244, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.162 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=180.754, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=209.828, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=191.030, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=179.104, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=207.833, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=180.818, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=177.104, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=178.756, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=178.819, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=189.032, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.278 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=234.865, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=249.490, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=248.124, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=233.633, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=247.868, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=233.886, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=235.093, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=233.864, Time=0.01 sec Best model: ARIMA(0,1,1)(0,0,0)[0] intercept Total fit time: 0.104 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=360.017, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=358.291, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=350.516, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=358.223, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=349.568, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=348.997, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=356.607, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=349.854, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=347.518, Time=0.01 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=348.861, Time=0.02 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=inf, Time=0.09 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.392 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=315.226, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=308.198, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=298.321, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=313.241, Time=0.00 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=300.388, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=296.886, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=298.379, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=298.273, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=306.227, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=299.146, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.219 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=338.035, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=360.878, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=338.306, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=347.323, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=429.703, Time=0.00 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=337.629, Time=0.07 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=339.240, Time=0.02 sec ARIMA(3,0,1)(0,0,0)[0] intercept : AIC=339.415, Time=0.08 sec ARIMA(2,0,2)(0,0,0)[0] intercept : AIC=339.555, Time=0.07 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=337.731, Time=0.05 sec ARIMA(3,0,0)(0,0,0)[0] intercept : AIC=341.205, Time=0.03 sec ARIMA(3,0,2)(0,0,0)[0] intercept : AIC=341.564, Time=0.08 sec ARIMA(2,0,1)(0,0,0)[0] : AIC=337.806, Time=0.02 sec Best model: ARIMA(2,0,1)(0,0,0)[0] intercept Total fit time: 0.477 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=291.184, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=277.685, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,0)(0,0,0)[0] : AIC=289.189, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=271.036, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=267.728, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=264.760, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=262.838, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=261.441, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=260.144, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=258.376, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=260.077, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=275.697, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=261.485, Time=0.04 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.527 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=292.835, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=286.454, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=290.903, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=274.695, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=276.208, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=273.384, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=284.596, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=275.011, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=274.389, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=273.917, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=274.767, Time=0.03 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.359 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=294.399, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=309.925, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=298.135, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=292.403, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=307.934, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=294.399, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=294.611, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=290.419, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=292.417, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=292.417, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=296.138, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=292.622, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.138 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=294.669, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=294.519, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=287.598, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=292.671, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=284.776, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=286.414, Time=0.03 sec ARIMA(1,1,3)(0,0,0)[0] intercept : AIC=286.760, Time=0.05 sec ARIMA(0,1,3)(0,0,0)[0] intercept : AIC=284.764, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=282.794, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=281.052, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=285.598, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=282.823, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=283.661, Time=0.02 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=284.791, Time=0.03 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.345 seconds Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=296.855, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=297.407, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=294.857, Time=0.00 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.105 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=181.196, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=179.313, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=179.302, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=179.387, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=209.284, Time=0.00 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=181.265, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=183.186, Time=0.04 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=204.507, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.115 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=110.765, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=109.858, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=109.131, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=109.876, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=125.666, Time=0.01 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=110.031, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=116.223, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.139 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.01 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=173.506, Time=0.01 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=151.839, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=131.620, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=128.089, Time=0.01 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=122.101, Time=0.04 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=120.116, Time=0.03 sec ARIMA(2,2,2)(0,0,0)[0] : AIC=122.098, Time=0.04 sec ARIMA(1,2,2)(0,0,0)[0] : AIC=120.394, Time=0.03 sec ARIMA(3,2,2)(0,0,0)[0] : AIC=inf, Time=0.11 sec ARIMA(2,2,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec Best model: ARIMA(2,2,1)(0,0,0)[0] Total fit time: 0.383 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=140.994, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=137.556, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=139.550, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=139.550, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=151.315, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.070 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=361.628, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=351.390, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=359.765, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=347.563, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=340.866, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=339.394, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=345.812, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=339.322, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=338.259, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=336.786, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=334.805, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=336.780, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=349.564, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.511 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=301.022, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=301.442, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=299.749, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=300.774, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,0)(0,0,0)[0] : AIC=375.331, Time=0.00 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=300.303, Time=0.02 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=302.251, Time=0.03 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=316.874, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.108 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=179.217, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=176.507, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=177.614, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=177.378, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=199.563, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.043 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=109.832, Time=0.02 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=147.400, Time=0.00 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=126.011, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=110.948, Time=0.02 sec ARIMA(1,2,2)(0,0,0)[0] : AIC=109.901, Time=0.03 sec ARIMA(0,2,2)(0,0,0)[0] : AIC=107.862, Time=0.02 sec ARIMA(0,2,3)(0,0,0)[0] : AIC=109.862, Time=0.03 sec ARIMA(1,2,3)(0,0,0)[0] : AIC=111.472, Time=0.04 sec ARIMA(0,2,2)(0,0,0)[0] intercept : AIC=109.186, Time=0.03 sec Best model: ARIMA(0,2,2)(0,0,0)[0] Total fit time: 0.244 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=284.062, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=275.129, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=282.069, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=263.605, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=264.529, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=261.613, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=273.141, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=262.533, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.442 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=292.332, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=312.137, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=298.397, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=290.868, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=310.172, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=292.210, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=294.250, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=289.219, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=290.616, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=290.456, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=296.494, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=292.572, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.127 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=229.191, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=226.408, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=227.824, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=227.803, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=272.088, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.061 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=255.714, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=277.517, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=255.392, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=255.259, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=275.533, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=256.567, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=256.922, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=253.351, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=253.736, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=254.590, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=253.418, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=254.955, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.122 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=161.820, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=157.438, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=159.881, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=152.218, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=150.076, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=148.086, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=150.229, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.477 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=236.821, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=226.932, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=234.836, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=214.652, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=215.022, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=212.955, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=225.020, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=213.396, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=211.107, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=209.947, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=207.962, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=209.942, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.445 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=408.530, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=421.831, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=416.395, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=406.713, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=419.979, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=408.299, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=409.640, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=405.193, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=407.087, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=406.943, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=414.630, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=408.205, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.176 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=226.890, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=222.910, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=224.904, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=224.904, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=275.631, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.061 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=241.589, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=239.891, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=239.809, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=239.956, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=315.132, Time=0.00 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=241.664, Time=0.02 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=243.575, Time=0.05 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=258.923, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.121 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=267.606, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=268.140, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=265.606, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=266.148, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=326.063, Time=0.00 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=267.606, Time=0.02 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=280.702, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.137 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=184.199, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=185.900, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=185.887, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=205.382, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.093 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=121.000, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=117.340, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=119.001, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=119.014, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=133.259, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.052 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=220.232, Time=0.05 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=218.801, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=220.772, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=220.778, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=282.410, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.076 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=195.288, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=213.945, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=201.506, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=193.303, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=211.951, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=195.290, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=196.514, Time=0.05 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=191.303, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=193.288, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=193.290, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=199.514, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=194.514, Time=0.04 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.194 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=325.704, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=320.172, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=314.456, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=323.723, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=314.813, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=315.939, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=312.727, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=312.919, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=313.304, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=318.221, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=314.170, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.197 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=318.257, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=313.157, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=316.278, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=285.795, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=287.785, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=287.739, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=283.819, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=311.178, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=285.810, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=285.769, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=293.055, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.387 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=215.178, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=217.086, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=213.507, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=213.250, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=257.701, Time=0.00 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=215.228, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=217.187, Time=0.02 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=254.548, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.107 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=145.726, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=141.386, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=143.738, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=139.627, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=138.298, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=136.301, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=137.631, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=131.101, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=129.241, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=131.038, Time=0.07 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=139.391, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=133.097, Time=0.09 sec Best model: ARIMA(2,1,1)(0,0,0)[0] Total fit time: 0.628 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=233.336, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=215.696, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=231.340, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=199.141, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=201.054, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=199.447, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=197.151, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=213.699, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=199.065, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=197.456, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.421 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=269.962, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=265.121, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=256.590, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=267.964, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=256.784, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=257.758, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=254.760, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=255.233, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=255.225, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=263.126, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=256.029, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.179 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=245.388, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=243.851, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=229.410, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=243.392, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=227.862, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=227.627, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=241.862, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=227.211, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=237.649, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=219.350, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=217.469, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=219.224, Time=0.02 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.320 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=241.039, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=264.608, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=251.449, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=239.330, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=262.618, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=240.895, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=242.843, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=237.367, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=239.090, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=238.952, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=249.450, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=240.901, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.157 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=199.875, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=197.064, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=197.883, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=191.600, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=187.553, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=185.592, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=189.619, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.485 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=207.912, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=209.678, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=209.633, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=256.782, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.074 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=142.197, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=162.576, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=140.809, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=142.815, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=160.589, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=142.121, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=143.222, Time=0.03 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=138.812, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=140.125, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=140.202, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=140.914, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=141.227, Time=0.02 sec Best model: ARIMA(1,1,0)(0,0,0)[0] Total fit time: 0.158 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=246.210, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=270.226, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=255.100, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=244.338, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=268.302, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=246.227, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=247.894, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=243.174, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=244.973, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=244.992, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=253.297, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=246.756, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.152 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=347.371, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=339.852, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=345.383, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=339.484, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=330.686, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=332.135, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=328.787, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=337.511, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=330.304, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=330.892, Time=0.02 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.320 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=47.661, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=35.930, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=45.804, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=33.808, Time=0.03 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=33.866, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=31.824, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=33.965, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=31.876, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.579 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=155.514, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=156.534, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=158.032, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=157.456, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=174.888, Time=0.00 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=155.029, Time=0.03 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=157.747, Time=0.01 sec ARIMA(3,0,1)(0,0,0)[0] intercept : AIC=151.711, Time=0.05 sec ARIMA(3,0,0)(0,0,0)[0] intercept : AIC=149.711, Time=0.03 sec ARIMA(3,0,0)(0,0,0)[0] : AIC=153.205, Time=0.02 sec Best model: ARIMA(3,0,0)(0,0,0)[0] intercept Total fit time: 0.173 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=208.526, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=194.967, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=187.654, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=206.532, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=185.685, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=192.975, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.423 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=129.533, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=128.012, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=127.765, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=127.548, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=142.945, Time=0.01 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=129.531, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=136.866, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.149 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=337.572, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=359.956, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=343.698, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=335.818, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=357.976, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=337.592, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=338.412, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=334.258, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=335.898, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=335.911, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=341.745, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=336.783, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.126 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=89.739, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=88.413, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=90.122, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=89.984, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=98.538, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.063 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=223.772, Time=0.01 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=180.786, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.02 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=157.666, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=152.621, Time=0.01 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(3,2,0)(0,0,0)[0] intercept : AIC=154.538, Time=0.02 sec Best model: ARIMA(3,2,0)(0,0,0)[0] Total fit time: 0.238 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=254.743, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=253.418, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=251.342, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=252.754, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=251.442, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=249.352, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=248.918, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=251.428, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=250.769, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=250.712, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=249.467, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=252.068, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=252.456, Time=0.05 sec Best model: ARIMA(1,1,1)(0,0,0)[0] Total fit time: 0.318 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=322.832, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=313.416, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=307.704, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=320.844, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=309.056, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=305.739, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=306.895, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=307.246, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=311.426, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=307.137, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.198 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=204.047, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=200.331, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=202.242, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=202.229, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=255.235, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.053 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=54.390, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=55.764, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=55.602, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=58.154, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.106 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=249.509, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=231.478, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=247.537, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=224.726, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=225.221, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=222.886, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=229.581, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=223.412, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.474 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=244.648, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=281.580, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=252.803, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=279.587, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=246.246, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=246.353, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=244.759, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=245.595, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=248.180, Time=0.05 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=242.660, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=246.688, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=250.803, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=244.258, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=244.365, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=242.767, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=243.600, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=246.192, Time=0.03 sec Best model: ARIMA(1,1,1)(0,0,0)[0] Total fit time: 0.274 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=134.455, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=124.521, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=132.542, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=121.988, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=113.224, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=111.283, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=120.046, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=107.937, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=107.711, Time=0.09 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(3,1,3)(0,0,0)[0] : AIC=inf, Time=0.12 sec ARIMA(2,1,3)(0,0,0)[0] : AIC=inf, Time=0.10 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec Best model: ARIMA(3,1,2)(0,0,0)[0] Total fit time: 0.891 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=136.671, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=132.786, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=134.775, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=134.776, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=148.248, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.063 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=78.944, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=66.551, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=77.021, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=63.472, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=59.851, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=57.857, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=61.483, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.525 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=140.918, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=137.528, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=139.508, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=139.504, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=151.089, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.055 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=208.468, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=198.174, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=206.475, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=188.487, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=176.941, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=178.565, Time=0.04 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=178.276, Time=0.03 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=175.035, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=186.514, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=176.688, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=176.517, Time=0.02 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.261 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=264.752, Time=0.05 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=269.129, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=265.953, Time=0.02 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=268.002, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=347.263, Time=0.00 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=263.896, Time=0.02 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=264.205, Time=0.02 sec ARIMA(3,0,1)(0,0,0)[0] intercept : AIC=265.479, Time=0.03 sec ARIMA(2,0,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=262.369, Time=0.03 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=260.469, Time=0.02 sec ARIMA(0,0,3)(0,0,0)[0] intercept : AIC=262.344, Time=0.02 sec ARIMA(1,0,3)(0,0,0)[0] intercept : AIC=264.308, Time=0.07 sec ARIMA(0,0,2)(0,0,0)[0] : AIC=293.349, Time=0.02 sec Best model: ARIMA(0,0,2)(0,0,0)[0] intercept Total fit time: 0.401 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=253.755, Time=0.00 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=191.115, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=185.316, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=180.374, Time=0.01 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,2,0)(0,0,0)[0] intercept : AIC=182.063, Time=0.02 sec Best model: ARIMA(3,2,0)(0,0,0)[0] Total fit time: 0.240 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=78.862, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=76.180, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=77.573, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=77.763, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=81.852, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.059 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=100.674, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=96.976, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=98.722, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=98.698, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=111.062, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.064 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=285.049, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=306.635, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=293.849, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=283.302, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=304.644, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=284.983, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=286.573, Time=0.04 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=281.777, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=283.392, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=283.265, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=291.910, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=285.230, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.155 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=172.458, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=169.767, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=170.549, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=170.458, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=193.173, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.043 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=187.101, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=181.322, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=185.111, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=174.084, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=168.075, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=166.075, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=172.087, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=164.004, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=162.013, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=161.445, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=159.718, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=161.308, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=179.327, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=162.662, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.454 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=155.412, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=157.373, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=157.273, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=153.426, Time=0.00 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.110 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=212.581, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=209.257, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=211.257, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=211.257, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=240.117, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.067 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=102.459, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=101.620, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=99.281, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=104.853, Time=0.00 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=98.785, Time=0.01 sec ARIMA(1,0,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(0,0,2)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=101.983, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] : AIC=inf, Time=0.04 sec Best model: ARIMA(0,0,1)(0,0,0)[0] Total fit time: 0.288 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=174.836, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=157.376, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=172.888, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=155.178, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=148.292, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=146.459, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=153.286, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=144.248, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=143.333, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=141.333, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=140.044, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=141.317, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=155.451, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.480 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=199.603, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=218.267, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=201.311, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=197.781, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=216.318, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=199.720, Time=0.02 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=201.483, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=196.288, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=197.994, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=198.166, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=199.487, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=199.903, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.146 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=100.413, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=96.571, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=98.489, Time=0.02 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=98.496, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,0)(0,0,0)[0] : AIC=111.486, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.073 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=189.686, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=185.893, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=187.708, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=187.719, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=212.722, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.057 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=225.052, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=208.505, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=223.057, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=208.652, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=206.507, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=206.656, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=192.780, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=190.863, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=192.789, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=194.224, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.248 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=282.212, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=307.790, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=284.696, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=280.763, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=305.874, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=282.577, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=281.086, Time=0.02 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,1)(0,0,0)[0] : AIC=279.808, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=280.740, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=281.194, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=282.920, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=279.720, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=281.369, Time=0.02 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=281.391, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=281.442, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=280.934, Time=0.02 sec ARIMA(2,1,3)(0,0,0)[0] : AIC=280.321, Time=0.04 sec Best model: ARIMA(1,1,2)(0,0,0)[0] Total fit time: 0.255 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=197.353, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=217.054, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=209.510, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=196.128, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=215.106, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=197.352, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=199.340, Time=0.06 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=195.741, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=197.141, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=197.114, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=207.614, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=199.113, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.201 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=175.981, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=175.291, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=177.105, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=176.984, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=204.310, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.048 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=280.597, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=302.181, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=292.866, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=278.828, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=300.223, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=280.572, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=279.837, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=277.386, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=279.213, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=279.191, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=290.953, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=278.429, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.144 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=242.348, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=266.053, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=254.285, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=240.348, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=264.158, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=242.348, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=244.069, Time=0.04 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=239.770, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=241.766, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=241.765, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=252.508, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=243.506, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.227 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=238.005, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=251.170, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=245.421, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=236.111, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=249.173, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=237.849, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=238.571, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=234.114, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=236.012, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=235.862, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=243.428, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=236.578, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.146 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=212.027, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=239.456, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=216.912, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=211.990, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=237.484, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=212.268, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=213.793, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=210.399, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=210.570, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=210.805, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=215.200, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=212.324, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.149 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=180.699, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=179.754, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=178.999, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=179.372, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=246.014, Time=0.00 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=180.624, Time=0.02 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=182.599, Time=0.04 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=197.305, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.125 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=221.872, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=211.873, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=219.877, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=205.024, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=202.251, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.14 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=200.428, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=203.178, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.489 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=155.954, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=152.986, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=154.976, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=154.972, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=170.425, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.053 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=154.153, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=146.960, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=152.170, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=141.503, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=136.833, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=134.380, Time=0.04 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=132.471, Time=0.03 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=136.370, Time=0.07 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=131.442, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=130.459, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=128.557, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=130.421, Time=0.03 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=144.967, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=132.075, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.569 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=180.179, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=182.070, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=182.018, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=229.969, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.111 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=242.022, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=230.097, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=240.055, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=229.504, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=226.201, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=221.448, Time=0.04 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=219.497, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=218.287, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=216.542, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=214.889, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=216.598, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=228.140, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.594 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=174.617, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=194.611, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=183.063, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=172.642, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=192.619, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=174.619, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=176.534, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=170.642, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=172.617, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=172.619, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=181.066, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=174.534, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.171 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=30.725, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=27.870, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=29.106, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=28.893, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=31.178, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.064 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=95.888, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=83.240, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=93.928, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=83.278, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=81.301, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=81.415, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=79.838, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=77.909, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=79.866, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=81.633, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.245 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=240.498, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=219.577, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=238.502, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=217.218, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=215.061, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=213.065, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=215.219, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.443 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=123.529, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=144.388, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=132.350, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=121.604, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=142.405, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=123.531, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=119.625, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=121.541, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=121.543, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=130.355, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.235 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=149.309, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=146.313, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=147.783, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=147.826, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=157.011, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.051 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=218.312, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=205.841, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=216.318, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=203.103, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=201.182, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=202.140, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=199.185, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=201.107, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=200.146, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=196.175, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=194.920, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=193.330, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=195.020, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=203.849, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.455 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=163.132, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=147.576, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=161.171, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=140.923, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=139.297, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=137.314, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=138.948, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=135.537, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=133.538, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=132.536, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=133.634, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=145.636, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=135.538, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.449 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=128.664, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=126.401, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=127.732, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=127.743, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=142.544, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.071 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=133.506, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=129.981, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=131.574, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=131.525, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=155.245, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.068 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=131.367, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=128.300, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=129.467, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=121.335, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=110.068, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=109.793, Time=0.04 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=109.247, Time=0.04 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.13 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=107.247, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=119.376, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=107.815, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=126.379, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=108.137, Time=0.01 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=inf, Time=0.10 sec Best model: ARIMA(2,1,1)(0,0,0)[0] Total fit time: 0.962 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=202.228, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=198.474, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=200.244, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=200.264, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=225.679, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.044 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=293.898, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=282.375, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=291.899, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=265.486, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=264.838, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=263.330, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=263.832, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=261.458, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=259.461, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=260.250, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=280.376, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=262.423, Time=0.02 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=inf, Time=0.11 sec Best model: ARIMA(2,1,1)(0,0,0)[0] Total fit time: 0.583 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=273.981, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=267.416, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=253.430, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=271.988, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=252.110, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=253.920, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=253.847, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=265.445, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=255.802, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.256 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=272.277, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=254.363, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=270.285, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=245.601, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=247.477, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=247.432, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=243.631, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=252.383, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=245.508, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=245.464, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.405 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=253.691, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=274.590, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=263.639, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=252.297, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=272.597, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=252.760, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=250.490, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=251.895, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=250.980, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=261.684, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.04 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.194 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=126.456, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=122.856, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=124.612, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=124.544, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=136.830, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.052 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=191.312, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=210.332, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=204.323, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=189.708, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=208.338, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=191.170, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=193.100, Time=0.04 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=187.709, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=189.326, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=189.187, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=202.326, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=191.112, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.189 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=208.000, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=191.809, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=206.026, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=189.961, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=180.044, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=182.034, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=178.075, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=188.050, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=180.066, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.345 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=110.192, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=112.045, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=111.966, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=123.505, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.104 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=194.968, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=226.852, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=216.936, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=224.872, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=205.470, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec Best model: ARIMA(1,1,1)(0,0,0)[0] intercept Total fit time: 0.435 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=60.579, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=59.010, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=60.125, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=59.642, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=63.839, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.073 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=132.715, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=128.990, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=130.823, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=130.805, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=157.209, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.067 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=94.759, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=80.840, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=92.812, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=76.403, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=72.424, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=65.088, Time=0.04 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=73.279, Time=0.04 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=64.729, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=62.905, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=61.787, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=62.792, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=78.915, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=64.764, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.595 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=52.569, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=50.077, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=51.834, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=51.631, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,0)(0,0,0)[0] : AIC=58.021, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.060 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=186.514, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=172.996, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=184.523, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=172.133, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=172.726, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=170.134, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=171.009, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=170.726, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.472 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=91.125, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=80.999, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=89.184, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=80.552, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=80.896, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=78.698, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=79.163, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=79.034, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=71.968, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=70.075, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=68.872, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=70.164, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=72.018, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.465 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=79.338, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=79.832, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=79.367, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=86.075, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.099 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=51.990, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=49.529, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=51.155, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=51.056, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=52.236, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.073 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=205.600, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=227.738, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=212.570, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=204.841, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=225.742, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=205.123, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=207.605, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=202.857, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=203.616, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=203.139, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=210.576, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=205.621, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.139 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=279.628, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=294.660, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=278.347, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=278.094, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=292.671, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=279.846, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=279.432, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=276.148, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=277.678, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=277.895, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=276.405, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=277.481, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.134 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=200.164, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=230.646, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=212.421, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=199.750, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=228.663, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=199.895, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=201.888, Time=0.04 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=197.848, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=198.197, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=197.907, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=210.447, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=199.901, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.182 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=89.033, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=96.478, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=91.867, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=87.364, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=104.493, Time=0.01 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=88.954, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=91.138, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.156 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=153.477, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=153.538, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=151.490, Time=0.00 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.117 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=89.569, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=89.444, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=88.389, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=88.937, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=100.770, Time=0.01 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=89.774, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=91.516, Time=0.02 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=102.669, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.093 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=175.873, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=169.553, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=173.885, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=167.437, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=164.687, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=162.693, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=165.446, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=158.439, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=156.506, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=154.589, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=154.066, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=154.537, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=167.568, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=155.196, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.453 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=301.887, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=330.113, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=314.467, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=300.332, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=328.114, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=301.804, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=303.508, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=298.519, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=300.022, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=299.922, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=312.476, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=301.566, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.152 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=151.561, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=149.900, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=150.200, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=150.582, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=165.616, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.055 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=142.532, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=139.954, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=140.906, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=140.621, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=158.165, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.045 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=180.378, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=176.429, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=178.378, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=178.379, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=190.623, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.046 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=283.822, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=309.175, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=282.003, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=307.184, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=283.931, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=280.125, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=282.060, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=281.966, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=279.458, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=281.224, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=280.345, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.212 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=201.284, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=197.334, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=199.284, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=199.285, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=233.765, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.057 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=241.076, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=258.948, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=242.692, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=240.199, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=256.950, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=240.958, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=242.864, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=238.199, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=239.076, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=238.959, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=240.696, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=240.865, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.131 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=201.269, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=233.548, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=211.653, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=201.521, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=231.565, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=203.232, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=203.218, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=201.222, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] intercept : AIC=203.220, Time=0.02 sec ARIMA(1,1,3)(0,0,0)[0] intercept : AIC=205.209, Time=0.06 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=199.279, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=199.533, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=201.272, Time=0.03 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=201.276, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=199.314, Time=0.01 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=203.264, Time=0.03 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.308 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=222.053, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=222.218, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=220.074, Time=0.00 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.123 seconds Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=102.471, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=97.043, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=94.289, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=100.519, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=95.567, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=98.263, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=92.759, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=92.965, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=94.000, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=95.318, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=96.733, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.214 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=201.482, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=203.017, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=202.930, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=216.018, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.092 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=78.032, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=75.007, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=76.076, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=76.032, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=77.821, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.055 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=132.387, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=127.677, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=130.415, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=123.936, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=118.156, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=120.091, Time=0.05 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=116.156, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=121.940, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=118.091, Time=0.04 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.09 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.445 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=235.674, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=248.528, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=237.357, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=233.969, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=246.531, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=235.606, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=236.998, Time=0.04 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=231.970, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=233.674, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=233.606, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=235.366, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=235.000, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.153 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=193.365, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=190.569, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=192.438, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=192.413, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=216.855, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.058 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=180.668, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=177.879, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=178.869, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=178.974, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=198.305, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.040 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=210.974, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=195.740, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=208.980, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=196.791, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=193.749, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=194.802, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(1,1,0)(0,0,0)[0] Total fit time: 0.368 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=95.012, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=88.747, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=93.213, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=87.791, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=82.145, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=84.145, Time=0.06 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=80.516, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=86.133, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=82.516, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.373 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=169.450, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=167.557, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=167.576, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=167.461, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=194.377, Time=0.00 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=169.452, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=170.865, Time=0.04 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=193.290, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.103 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=274.582, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=268.248, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=272.613, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=253.203, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=252.845, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=252.818, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=250.973, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=251.375, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=250.265, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=inf, Time=0.09 sec ARIMA(2,1,3)(0,0,0)[0] : AIC=inf, Time=0.10 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=250.717, Time=0.04 sec ARIMA(3,1,3)(0,0,0)[0] : AIC=inf, Time=0.09 sec Best model: ARIMA(2,1,2)(0,0,0)[0] Total fit time: 1.021 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=122.601, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=118.698, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=120.693, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=120.694, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=133.361, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.079 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=219.672, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=225.142, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=219.081, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=220.576, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=264.340, Time=0.00 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=220.635, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=220.704, Time=0.07 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=228.832, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.146 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=132.436, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=166.264, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=139.439, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=164.278, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=133.286, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=132.367, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] intercept : AIC=134.182, Time=0.03 sec ARIMA(1,1,3)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=130.375, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=130.977, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=131.299, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=132.208, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=130.438, Time=0.01 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.520 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.02 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=129.734, Time=0.00 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=113.767, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=103.493, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=102.600, Time=0.01 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=101.570, Time=0.02 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=99.576, Time=0.02 sec ARIMA(2,2,2)(0,0,0)[0] : AIC=101.470, Time=0.03 sec ARIMA(1,2,2)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(3,2,2)(0,0,0)[0] : AIC=103.135, Time=0.06 sec ARIMA(2,2,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec Best model: ARIMA(2,2,1)(0,0,0)[0] Total fit time: 0.342 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=199.141, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=193.005, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=197.167, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=194.865, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=191.036, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=192.895, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=184.626, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=186.563, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=186.194, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=186.436, Time=0.05 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=185.753, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=185.170, Time=0.03 sec Best model: ARIMA(1,1,1)(0,0,0)[0] Total fit time: 0.381 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=54.249, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=55.608, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=55.600, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=58.021, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.092 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=123.860, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=125.844, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=125.834, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=142.884, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.079 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=234.672, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=224.513, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=211.817, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=232.676, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=215.511, Time=0.06 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=209.834, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=211.349, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=222.524, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=213.523, Time=0.04 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.309 seconds Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=162.660, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=158.699, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=160.717, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=154.640, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=154.228, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=152.235, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=152.671, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.472 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=173.461, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=165.031, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=171.569, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=161.935, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=152.360, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=148.038, Time=0.04 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=146.565, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=150.485, Time=0.01 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=160.056, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(3,1,1)(0,0,0)[0] Total fit time: 0.673 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=246.723, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=264.466, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=258.758, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=244.822, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=262.475, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=246.579, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=242.853, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=244.766, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=244.449, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=256.768, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=244.637, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.169 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=167.672, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=152.851, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=165.685, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=145.784, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=145.002, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.12 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=143.012, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=143.802, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=137.414, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=135.539, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=133.752, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=132.414, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=133.673, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=150.893, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=136.277, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.498 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=202.757, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=235.644, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=220.876, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=201.876, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=233.659, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=201.782, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=202.288, Time=0.04 sec ARIMA(0,1,3)(0,0,0)[0] intercept : AIC=201.694, Time=0.04 sec ARIMA(1,1,3)(0,0,0)[0] intercept : AIC=203.678, Time=0.04 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=201.162, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=201.557, Time=0.01 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=203.157, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=201.829, Time=0.03 sec Best model: ARIMA(0,1,3)(0,0,0)[0] Total fit time: 0.283 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=86.857, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=75.300, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=84.924, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=71.442, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=61.933, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=58.775, Time=0.07 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=60.768, Time=0.09 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(2,1,1)(0,0,0)[0] intercept Total fit time: 0.662 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=81.135, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=110.122, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=85.886, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=108.289, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=82.610, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=81.692, Time=0.04 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=79.919, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] intercept : AIC=81.778, Time=0.04 sec ARIMA(1,1,3)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=78.334, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=81.387, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=80.152, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=80.225, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=79.450, Time=0.01 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.484 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=231.398, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=227.455, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=229.411, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=229.412, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=255.398, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.056 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=111.140, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=107.462, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=109.372, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=109.394, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=130.365, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.054 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=156.343, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=154.357, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=155.093, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=155.362, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=169.926, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.043 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=118.882, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=112.788, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=117.015, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=109.207, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=106.014, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=104.123, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=107.331, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.515 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=148.459, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=141.133, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=146.480, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=139.134, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=138.793, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=136.864, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=137.196, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.445 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=134.353, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=125.758, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=132.517, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=111.845, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=111.706, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=109.802, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=109.954, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=107.555, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=107.280, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=107.690, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=108.495, Time=0.03 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=123.973, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=108.953, Time=0.03 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=109.528, Time=0.05 sec Best model: ARIMA(2,1,1)(0,0,0)[0] Total fit time: 0.509 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=68.746, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=66.616, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=68.321, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=68.376, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,0)(0,0,0)[0] : AIC=73.682, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.076 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=210.458, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=235.110, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=228.640, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=208.458, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=233.114, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=210.457, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=212.034, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=206.506, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=208.505, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=208.505, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=226.645, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=210.092, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.170 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=233.088, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=231.348, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=233.344, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=233.345, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=253.404, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.064 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=200.037, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=224.401, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=200.811, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=200.704, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=222.527, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=201.646, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=201.022, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=201.173, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=198.308, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=199.107, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=199.020, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=198.581, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=199.952, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=199.285, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=199.390, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=200.352, Time=0.04 sec Best model: ARIMA(1,1,1)(0,0,0)[0] Total fit time: 0.414 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=219.186, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=193.074, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=217.209, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=190.804, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=190.698, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=188.750, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=188.835, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.430 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=129.416, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=169.890, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=140.057, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=167.904, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=138.791, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(1,1,1)(0,0,0)[0] intercept Total fit time: 0.488 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=250.244, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=225.089, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=248.270, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=217.952, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=212.514, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=217.606, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=210.550, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=215.993, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.382 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=261.298, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=251.486, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=259.301, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=245.212, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=240.894, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=235.559, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=237.547, Time=0.07 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=235.667, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=233.877, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=232.186, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=231.101, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=229.101, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=231.101, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=249.492, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.521 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=115.762, Time=0.05 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=112.309, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=114.189, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=114.164, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=114.388, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.077 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=146.701, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=144.800, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=144.881, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=145.175, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=160.589, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.040 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=136.303, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=134.571, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=135.202, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=134.683, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=156.264, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.050 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=112.833, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=109.384, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=111.211, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=111.116, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=118.756, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.064 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=133.416, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=130.869, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=132.528, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=132.277, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=143.194, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.054 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=165.209, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=160.234, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=149.529, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=163.225, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=152.802, Time=0.07 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=147.562, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=158.266, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.354 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=114.484, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=142.184, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=115.942, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=140.342, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=114.914, Time=0.04 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=116.040, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=116.636, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=113.079, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=114.504, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=114.248, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=112.525, Time=0.03 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=115.036, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=114.049, Time=0.04 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=114.133, Time=0.04 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=113.592, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=115.019, Time=0.02 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=116.497, Time=0.04 sec Best model: ARIMA(2,1,1)(0,0,0)[0] Total fit time: 0.546 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=152.139, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=143.570, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=150.156, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=139.820, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=140.481, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=137.830, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=141.591, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=138.489, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.518 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=192.570, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=193.032, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=192.381, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=222.320, Time=0.00 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=193.314, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=195.102, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,1)(0,0,0)[0] : AIC=219.403, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.131 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=107.256, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=140.007, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=108.532, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=138.030, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=107.089, Time=0.03 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=106.640, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=108.050, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=109.026, Time=0.06 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=104.818, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=106.663, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=106.203, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=105.232, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=105.459, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=107.175, Time=0.04 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.290 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=47.736, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=40.084, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=45.879, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=41.631, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=38.269, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=39.774, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=inf, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(1,1,0)(0,0,0)[0] Total fit time: 0.383 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=225.019, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=264.534, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=235.218, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=228.652, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=262.588, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=226.998, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=226.888, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=224.889, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] intercept : AIC=226.889, Time=0.05 sec ARIMA(1,1,3)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=224.870, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=228.601, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=226.868, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=225.030, Time=0.01 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.450 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=141.082, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=164.017, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=139.965, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=162.148, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=141.399, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=138.189, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=139.626, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=139.307, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=136.491, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=138.455, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=137.882, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.210 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=211.608, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=201.431, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=193.604, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=209.614, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=191.641, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=199.448, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.368 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=84.611, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=80.870, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=82.860, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=82.860, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=89.953, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.074 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=270.175, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=258.677, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=268.192, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=256.810, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=252.305, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=246.414, Time=0.04 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=248.334, Time=0.04 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=246.246, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=247.335, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=250.784, Time=0.01 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=247.896, Time=0.03 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=255.114, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=249.332, Time=0.03 sec Best model: ARIMA(3,1,1)(0,0,0)[0] Total fit time: 0.459 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=119.237, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=100.441, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=117.380, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=96.865, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=98.589, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.13 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=95.112, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=98.660, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=96.818, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.571 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=137.283, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=139.252, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=139.226, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=148.694, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.121 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=57.452, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=59.076, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=59.055, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=62.344, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.092 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=221.100, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=223.409, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=221.066, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=221.350, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=284.823, Time=0.00 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=222.606, Time=0.02 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=236.288, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.167 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=54.662, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=48.611, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=52.774, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=43.146, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=43.482, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=41.337, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=46.757, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=41.688, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.447 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=133.629, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=135.629, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=135.629, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=144.313, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.079 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=188.143, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=188.455, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=188.853, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=188.665, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=219.513, Time=0.00 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=190.069, Time=0.04 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=190.083, Time=0.04 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=190.518, Time=0.01 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=190.655, Time=0.01 sec ARIMA(2,0,2)(0,0,0)[0] intercept : AIC=192.028, Time=0.05 sec ARIMA(1,0,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(1,0,1)(0,0,0)[0] intercept Total fit time: 0.258 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=173.766, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=168.466, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=171.803, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=154.699, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=155.893, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=152.913, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=166.510, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=154.087, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.435 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=102.471, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=91.140, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=100.519, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=85.338, Time=0.04 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=80.346, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.12 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=78.380, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=83.414, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.529 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=131.846, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=128.031, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=129.871, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=119.187, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=117.368, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=115.390, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=117.225, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.513 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=214.893, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=207.700, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=212.917, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=207.215, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=203.952, Time=0.02 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=201.977, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=205.246, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.435 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=118.008, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=107.947, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=116.151, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=103.497, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=95.229, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=92.894, Time=0.04 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=94.009, Time=0.06 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=90.898, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=91.013, Time=0.03 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=93.386, Time=0.01 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=92.012, Time=0.03 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=101.711, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=91.853, Time=0.06 sec Best model: ARIMA(3,1,1)(0,0,0)[0] Total fit time: 0.613 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=58.706, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=54.937, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=56.470, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=56.344, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=64.019, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.077 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=145.556, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=134.536, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=143.640, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=131.429, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=128.349, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=126.410, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=129.552, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.469 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=126.198, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=123.364, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=124.323, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=114.626, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=114.317, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=112.463, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=112.802, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.488 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=111.849, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=112.623, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=110.004, Time=0.01 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.138 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=160.999, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=154.689, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=159.010, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=146.094, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=147.002, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=144.286, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=152.784, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=145.217, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=138.923, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=138.395, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=136.491, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.495 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=83.678, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=106.917, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=84.804, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,0)(0,0,0)[0] : AIC=104.945, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=84.553, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=84.029, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=82.350, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=82.961, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=83.125, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=82.926, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=84.253, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=83.946, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=82.498, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=84.399, Time=0.08 sec Best model: ARIMA(1,1,1)(0,0,0)[0] Total fit time: 0.535 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=131.625, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=131.405, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=129.645, Time=0.00 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.142 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=167.750, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=153.427, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=165.764, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=150.122, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=149.392, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=147.641, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=148.326, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=144.548, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=142.609, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=140.719, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=138.759, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=140.722, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=151.558, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.484 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=172.903, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=163.575, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=170.951, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=165.039, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=161.637, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=163.102, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=155.029, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=155.149, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.355 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=178.433, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=179.266, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=180.298, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=180.148, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=194.828, Time=0.00 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=180.422, Time=0.03 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=180.409, Time=0.03 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=182.012, Time=0.01 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=182.112, Time=0.01 sec ARIMA(2,0,2)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(1,0,1)(0,0,0)[0] : AIC=184.454, Time=0.02 sec Best model: ARIMA(1,0,1)(0,0,0)[0] intercept Total fit time: 0.246 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=138.849, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=125.275, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,0)(0,0,0)[0] : AIC=136.865, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=121.371, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=122.361, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.13 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=119.400, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=123.300, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=120.382, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.512 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=156.660, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=153.089, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=154.866, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=154.843, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=172.260, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.053 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=103.610, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=102.404, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=100.696, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=115.777, Time=0.01 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=101.994, Time=0.02 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=102.649, Time=0.02 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=117.705, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.132 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=40.301, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=41.042, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=40.237, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=45.881, Time=0.01 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=40.805, Time=0.02 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=42.752, Time=0.05 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=47.881, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.172 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=79.721, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=76.440, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=78.195, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=78.149, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=78.347, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.068 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=50.571, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=52.417, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=52.393, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=58.435, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.098 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=67.354, Time=0.00 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=63.136, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=59.838, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=59.969, Time=0.02 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=57.884, Time=0.05 sec ARIMA(3,2,2)(0,0,0)[0] : AIC=inf, Time=0.09 sec ARIMA(2,2,2)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(3,2,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec Best model: ARIMA(3,2,1)(0,0,0)[0] Total fit time: 0.466 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=72.641, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=72.059, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=72.670, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=72.021, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=77.821, Time=0.01 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=72.815, Time=0.02 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=74.553, Time=0.07 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,1)(0,0,0)[0] : AIC=79.821, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.155 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=70.410, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=64.547, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=68.501, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=62.166, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=57.400, Time=0.05 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=55.452, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=60.285, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.541 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=102.236, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=138.125, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=111.630, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=136.151, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=102.816, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=109.073, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=100.238, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=99.801, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=100.830, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=109.675, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=100.968, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.508 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=137.181, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=134.197, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=135.180, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=135.126, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=142.566, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.076 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=189.222, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=211.904, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=198.631, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=187.323, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=209.928, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=189.216, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=185.827, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=187.709, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=187.699, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=196.732, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.04 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.208 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=86.252, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=74.961, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=84.319, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=62.837, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=63.687, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=60.957, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=73.049, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=61.773, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.582 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=100.490, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=99.716, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=96.812, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=98.538, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=94.997, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=89.772, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=inf, Time=0.09 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.528 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=89.234, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=88.499, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=88.975, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=89.418, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=95.172, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.053 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=151.261, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=151.744, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=149.570, Time=0.00 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.119 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=171.970, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=161.197, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=169.983, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=155.119, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=148.154, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=147.221, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=145.422, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=143.576, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=141.973, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=139.990, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=141.969, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=159.214, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=143.990, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.593 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=155.045, Time=0.02 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=186.525, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=163.328, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=184.534, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=155.968, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=155.680, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=153.687, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] intercept : AIC=155.673, Time=0.02 sec ARIMA(1,1,3)(0,0,0)[0] intercept : AIC=157.493, Time=0.04 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=151.790, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=153.818, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=153.784, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=153.779, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=153.113, Time=0.01 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=155.600, Time=0.03 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.305 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=199.753, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=196.836, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=189.143, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=197.814, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=187.526, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=186.397, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=194.904, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=188.337, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=188.356, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=186.620, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=194.208, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=190.322, Time=0.03 sec Best model: ARIMA(1,1,1)(0,0,0)[0] Total fit time: 0.320 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=188.230, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=185.604, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=186.242, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=186.249, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=200.698, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.056 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=124.462, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=125.768, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=125.707, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=140.373, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.109 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=123.981, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=123.859, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=122.390, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=122.643, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=146.480, Time=0.01 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=124.103, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=126.390, Time=0.03 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=131.198, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.096 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=116.507, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=112.335, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=114.661, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=108.506, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=93.809, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=92.095, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=106.706, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=90.546, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=89.132, Time=0.05 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(3,1,3)(0,0,0)[0] : AIC=90.955, Time=0.09 sec ARIMA(2,1,3)(0,0,0)[0] : AIC=inf, Time=0.11 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec Best model: ARIMA(3,1,2)(0,0,0)[0] Total fit time: 0.908 seconds Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=31.019, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=30.556, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=29.219, Time=0.00 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.183 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=162.304, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=156.497, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=160.367, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=149.582, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=143.074, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=141.632, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=147.905, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=138.240, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=137.075, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=137.527, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=138.642, Time=0.03 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=154.635, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=139.024, Time=0.03 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=140.137, Time=0.04 sec Best model: ARIMA(2,1,1)(0,0,0)[0] Total fit time: 0.486 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=47.253, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=40.565, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=45.396, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=39.241, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=33.708, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=32.849, Time=0.05 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=34.442, Time=0.10 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=31.160, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=31.976, Time=0.02 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=inf, Time=0.09 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=37.449, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=inf, Time=0.09 sec Best model: ARIMA(3,1,1)(0,0,0)[0] Total fit time: 0.829 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=142.326, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=125.807, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=140.348, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=114.512, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=115.575, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=115.071, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=112.655, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=123.885, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=113.733, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=111.081, Time=0.04 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=109.122, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=107.379, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=109.145, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=111.117, Time=0.04 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.469 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=97.916, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=133.445, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=102.248, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=131.471, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=98.163, Time=0.04 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=99.057, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=102.185, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=96.257, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=inf, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=100.299, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=96.442, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=97.384, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=100.293, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(1,1,1)(0,0,0)[0] Total fit time: 0.598 seconds Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=93.376, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=95.042, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=95.005, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=95.408, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.085 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=54.388, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=68.585, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=52.609, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=52.476, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=66.662, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=54.471, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=53.775, Time=0.04 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=51.552, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=52.490, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=53.440, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=50.743, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=52.680, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=51.668, Time=0.03 sec Best model: ARIMA(1,1,0)(0,0,0)[0] Total fit time: 0.204 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=91.303, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=92.670, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=92.664, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=95.172, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.083 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=85.629, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=74.342, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=83.695, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=72.950, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=73.438, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=71.415, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=72.691, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=71.966, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.554 seconds Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=30.090, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=23.098, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=18.751, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=28.290, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=17.365, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=21.569, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.438 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=69.418, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=67.627, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=67.495, Time=0.00 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.132 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=124.543, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=126.107, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=126.039, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=138.464, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.123 seconds Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=99.388, Time=0.00 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=81.181, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=76.778, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=75.753, Time=0.01 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(3,2,0)(0,0,0)[0] intercept : AIC=77.558, Time=0.02 sec Best model: ARIMA(3,2,0)(0,0,0)[0] Total fit time: 0.248 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=201.515, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=197.719, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=199.539, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=199.559, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=215.106, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.047 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=68.219, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=52.766, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=66.310, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=48.159, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=46.907, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=45.086, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=46.322, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.500 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=47.858, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=77.962, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=54.601, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=47.122, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=76.039, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=48.248, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=47.550, Time=0.05 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,1)(0,0,0)[0] : AIC=46.039, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=46.523, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=46.947, Time=0.03 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=52.734, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=46.320, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.236 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=177.684, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=165.791, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=175.731, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=162.754, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=163.542, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=160.872, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=163.853, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=161.682, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=156.813, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=155.689, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=154.492, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=155.886, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.454 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=150.540, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=143.034, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=137.363, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=148.560, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=138.646, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=140.448, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=135.455, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=136.698, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=141.081, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=138.536, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.227 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=76.336, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=54.558, Time=0.02 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=74.413, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=55.006, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=52.690, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=53.145, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(1,1,0)(0,0,0)[0] Total fit time: 0.394 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=188.386, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=164.665, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=186.395, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=161.680, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=162.663, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=159.885, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=162.793, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=160.947, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=156.029, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=155.657, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=154.035, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=155.771, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=157.111, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.459 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=135.334, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=111.835, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,0)(0,0,0)[0] : AIC=133.361, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=110.817, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=110.188, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=108.357, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=108.965, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.476 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=143.915, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=140.177, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=142.177, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=142.177, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=160.367, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.054 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=81.450, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=62.481, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=79.516, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=59.947, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=60.452, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=58.072, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=60.592, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=58.584, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.535 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=146.429, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=144.582, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=144.447, Time=0.00 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.094 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=107.439, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=109.377, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=109.159, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=105.582, Time=0.01 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.101 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=16.112, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=17.819, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=17.742, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=18.285, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.116 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=114.539, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=105.555, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=112.562, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=96.426, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=98.235, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=94.566, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=103.627, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=96.406, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=96.315, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=92.960, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=91.180, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=92.933, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=95.139, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.478 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=47.960, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=45.549, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=46.013, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=45.969, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=52.236, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.080 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=158.120, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=152.339, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=156.137, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=139.578, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=140.302, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=138.508, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.14 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.12 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=136.537, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=137.605, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=150.359, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=138.330, Time=0.01 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(2,1,1)(0,0,0)[0] Total fit time: 0.886 seconds Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=47.445, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=37.625, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=45.588, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=25.706, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=26.987, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=26.567, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=23.958, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=35.810, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=25.245, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=24.805, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.09 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.502 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=60.249, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=49.428, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=58.361, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=46.434, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=39.860, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=38.057, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=44.597, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.569 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=82.928, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=73.753, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=80.995, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=75.725, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=71.937, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=73.912, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=67.602, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.415 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=204.974, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=188.418, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=202.980, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=163.904, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=165.142, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=162.726, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=162.776, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=162.337, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=168.117, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=162.552, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=163.583, Time=0.03 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=162.568, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=186.608, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=163.963, Time=0.01 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=164.566, Time=0.06 sec Best model: ARIMA(2,1,1)(0,0,0)[0] Total fit time: 0.688 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=90.085, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=91.824, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=92.422, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=91.440, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=99.702, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=91.909, Time=0.03 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=91.828, Time=0.04 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=89.846, Time=0.02 sec ARIMA(0,0,3)(0,0,0)[0] intercept : AIC=91.846, Time=0.03 sec ARIMA(1,0,3)(0,0,0)[0] intercept : AIC=93.708, Time=0.06 sec ARIMA(0,0,2)(0,0,0)[0] : AIC=96.458, Time=0.01 sec Best model: ARIMA(0,0,2)(0,0,0)[0] intercept Total fit time: 0.236 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=67.273, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=64.983, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=66.326, Time=0.02 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=66.029, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=72.117, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.078 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=121.640, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=160.075, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=139.021, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=158.091, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=122.172, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=122.356, Time=0.04 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=120.567, Time=0.04 sec ARIMA(0,1,3)(0,0,0)[0] intercept : AIC=122.176, Time=0.04 sec ARIMA(1,1,3)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=118.676, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=120.449, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=120.263, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=119.719, Time=0.03 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.534 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=115.362, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=117.101, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=116.922, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=128.968, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.086 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=34.743, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=32.901, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=34.154, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=33.792, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=37.276, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.069 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=51.623, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=49.549, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=51.156, Time=0.02 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=51.268, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=52.265, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.072 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=140.777, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=120.882, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=138.801, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=113.045, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=114.042, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.12 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=111.198, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=118.976, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=112.261, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=107.612, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=105.614, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=104.812, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=105.704, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=108.726, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.474 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=115.067, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=117.788, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=113.572, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=113.162, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=133.971, Time=0.01 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=115.053, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=117.053, Time=0.03 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=122.476, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.108 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=90.336, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=80.460, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=88.395, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=80.205, Time=0.03 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=79.193, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=73.492, Time=0.05 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(3,1,1)(0,0,0)[0] intercept Total fit time: 0.565 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=99.740, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=99.120, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=99.172, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=98.203, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=105.067, Time=0.01 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=99.245, Time=0.02 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=100.027, Time=0.04 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=101.373, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.112 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=138.432, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=134.567, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=136.439, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=136.442, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=151.089, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.070 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=122.204, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=107.902, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=120.226, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=106.632, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=106.304, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=104.367, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=104.670, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=98.686, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=96.879, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=95.001, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=93.599, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=95.063, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=105.936, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.04 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.491 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=121.961, Time=0.05 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=118.008, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=119.961, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=119.962, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=127.531, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.077 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=156.975, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=153.016, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=154.977, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=154.976, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=171.489, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.053 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=94.426, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=97.720, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=92.835, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=94.980, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=105.710, Time=0.01 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=93.867, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=95.419, Time=0.03 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=95.092, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.091 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=85.368, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=83.621, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=85.397, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=85.347, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=88.280, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.075 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=153.909, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=149.949, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=152.044, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=150.538, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=148.182, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=148.800, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=140.918, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=142.226, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=142.912, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=141.210, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(1,1,1)(0,0,0)[0] Total fit time: 0.409 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=47.653, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=40.243, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=45.796, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=38.634, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=38.751, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=36.841, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=38.428, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=36.973, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.585 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=35.434, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=32.235, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=33.523, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=33.637, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=36.595, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.073 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=110.120, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=97.902, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=108.163, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=75.364, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=69.869, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=68.233, Time=0.03 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=73.460, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=66.049, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=64.124, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=69.214, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=66.086, Time=0.05 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=95.960, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=inf, Time=0.10 sec Best model: ARIMA(2,1,1)(0,0,0)[0] Total fit time: 0.671 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=164.802, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=149.006, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=143.558, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=162.816, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=147.059, Time=0.04 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=141.600, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=147.026, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=145.106, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.352 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=104.798, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=102.253, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=103.010, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=103.038, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=108.163, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.058 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=144.632, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=165.209, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=160.234, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=142.751, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=163.225, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=140.968, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=142.854, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=inf, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=158.266, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.280 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=184.960, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=179.358, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=183.051, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=173.500, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=173.919, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=171.713, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=177.493, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=172.181, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=169.056, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=167.056, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=167.469, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=167.007, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=168.993, Time=0.03 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.653 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=193.594, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=227.075, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=209.494, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=193.617, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=225.080, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=193.382, Time=0.03 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=202.300, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=188.642, Time=0.04 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=186.654, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=185.689, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=200.688, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=187.689, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=192.768, Time=0.02 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.230 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=138.761, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=163.158, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=138.744, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=139.244, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=161.173, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=139.788, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=136.770, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=137.815, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=136.788, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=137.260, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(1,1,0)(0,0,0)[0] Total fit time: 0.282 seconds Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=82.928, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=68.561, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=80.995, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=60.056, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=59.427, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.12 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=57.563, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=58.182, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.515 seconds Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=195.262, Time=0.01 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=171.483, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=157.173, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=148.469, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(3,2,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(3,2,0)(0,0,0)[0] intercept : AIC=150.464, Time=0.02 sec Best model: ARIMA(3,2,0)(0,0,0)[0] Total fit time: 0.226 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=47.653, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=41.516, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=40.717, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=45.796, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=42.545, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=44.391, Time=0.05 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=39.224, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=41.077, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=39.876, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=42.895, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.273 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=145.691, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=149.791, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=150.326, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=150.680, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=166.082, Time=0.00 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=147.443, Time=0.03 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=147.430, Time=0.03 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=151.569, Time=0.01 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=150.601, Time=0.01 sec ARIMA(2,0,2)(0,0,0)[0] intercept : AIC=149.425, Time=0.08 sec ARIMA(1,0,1)(0,0,0)[0] : AIC=155.834, Time=0.03 sec Best model: ARIMA(1,0,1)(0,0,0)[0] intercept Total fit time: 0.247 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=137.827, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=126.598, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=135.927, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=125.496, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=125.085, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=123.494, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=123.851, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.489 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=138.125, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=121.750, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=136.151, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=114.282, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=112.817, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.12 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=110.941, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=112.371, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.521 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=48.157, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=75.702, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=52.887, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=53.879, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=73.761, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=46.175, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=44.277, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=46.206, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=48.114, Time=0.06 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=44.176, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=51.674, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=45.821, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=45.726, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=48.155, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=47.381, Time=0.05 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.327 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=26.365, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=24.030, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=24.848, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=24.522, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=27.282, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.060 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=187.068, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=178.167, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=185.103, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=169.561, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=168.554, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=166.668, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=167.618, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=164.007, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=162.519, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=161.042, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=159.044, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=161.041, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=176.211, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.490 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=102.669, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=92.978, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=100.709, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=91.337, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=91.594, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=89.635, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=91.188, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=89.944, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.460 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=81.413, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=79.071, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=79.812, Time=0.02 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=79.525, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=81.852, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.069 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=129.267, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=112.202, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=127.297, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=110.228, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=111.489, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=108.276, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=110.246, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=109.551, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.572 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=143.603, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=179.431, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=156.669, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=177.443, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=145.526, Time=0.04 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=143.911, Time=0.03 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=145.970, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=147.390, Time=0.06 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=141.882, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=141.420, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=142.236, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=154.688, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=143.846, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.395 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=142.387, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=141.997, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=141.128, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=140.444, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=148.122, Time=0.00 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=142.351, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=143.731, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.138 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=192.465, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=191.235, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=190.591, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=190.943, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=216.534, Time=0.00 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=192.424, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=194.417, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=200.947, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.077 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=14.744, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=16.464, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=16.395, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=16.910, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.108 seconds Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=71.350, Time=0.00 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=67.397, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.02 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=51.262, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=42.544, Time=0.02 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,2,0)(0,0,0)[0] intercept : AIC=44.537, Time=0.03 sec Best model: ARIMA(3,2,0)(0,0,0)[0] Total fit time: 0.235 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=123.655, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=112.322, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=121.686, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=109.647, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=111.434, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.13 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=107.723, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=110.363, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=109.534, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=106.602, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=105.591, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=104.222, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=105.770, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=106.774, Time=0.04 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.520 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=74.298, Time=0.00 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=52.782, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=44.683, Time=0.02 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=41.490, Time=0.02 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=34.865, Time=0.07 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(3,2,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,2,2)(0,0,0)[0] : AIC=34.397, Time=0.08 sec ARIMA(1,2,2)(0,0,0)[0] : AIC=32.399, Time=0.04 sec ARIMA(0,2,2)(0,0,0)[0] : AIC=30.659, Time=0.03 sec ARIMA(0,2,3)(0,0,0)[0] : AIC=32.399, Time=0.06 sec ARIMA(1,2,3)(0,0,0)[0] : AIC=34.397, Time=0.09 sec ARIMA(0,2,2)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec Best model: ARIMA(0,2,2)(0,0,0)[0] Total fit time: 0.664 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=47.405, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=78.215, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=61.194, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=76.282, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=47.951, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=47.888, Time=0.05 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=45.992, Time=0.04 sec ARIMA(0,1,3)(0,0,0)[0] intercept : AIC=47.857, Time=0.08 sec ARIMA(1,1,3)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=45.111, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=49.025, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=46.955, Time=0.03 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=46.910, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=46.764, Time=0.02 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.569 seconds Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=94.413, Time=0.01 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=76.368, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=71.973, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=73.686, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(2,2,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=inf, Time=0.08 sec ARIMA(2,2,0)(0,0,0)[0] intercept : AIC=73.918, Time=0.01 sec Best model: ARIMA(2,2,0)(0,0,0)[0] Total fit time: 0.239 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=103.487, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=105.692, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=106.823, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=106.231, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=120.896, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=104.336, Time=0.03 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=105.025, Time=0.03 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=104.129, Time=0.02 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=108.297, Time=0.01 sec ARIMA(2,0,2)(0,0,0)[0] intercept : AIC=104.933, Time=0.08 sec ARIMA(1,0,1)(0,0,0)[0] : AIC=104.546, Time=0.02 sec Best model: ARIMA(1,0,1)(0,0,0)[0] intercept Total fit time: 0.249 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=166.798, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=168.746, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=168.700, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=165.027, Time=0.01 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.086 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=88.455, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=89.245, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=90.416, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=89.651, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=100.709, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=87.132, Time=0.01 sec ARIMA(0,0,3)(0,0,0)[0] intercept : AIC=89.035, Time=0.03 sec ARIMA(1,0,3)(0,0,0)[0] intercept : AIC=88.651, Time=0.09 sec ARIMA(0,0,2)(0,0,0)[0] : AIC=96.970, Time=0.01 sec Best model: ARIMA(0,0,2)(0,0,0)[0] intercept Total fit time: 0.355 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=118.098, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=120.374, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=118.805, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=117.459, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=128.879, Time=0.01 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=118.438, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=120.054, Time=0.05 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=121.804, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.125 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=139.186, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=114.855, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=137.211, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=100.978, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=101.016, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=96.868, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=95.198, Time=0.04 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=97.589, Time=0.05 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,3)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(1,1,3)(0,0,0)[0] intercept : AIC=97.362, Time=0.05 sec ARIMA(3,1,3)(0,0,0)[0] intercept : AIC=inf, Time=0.14 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=93.945, Time=0.04 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=96.134, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=95.489, Time=0.02 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=95.910, Time=0.03 sec ARIMA(2,1,3)(0,0,0)[0] : AIC=95.662, Time=0.04 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=95.215, Time=0.02 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=95.782, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=97.389, Time=0.03 sec ARIMA(3,1,3)(0,0,0)[0] : AIC=96.574, Time=0.11 sec Best model: ARIMA(2,1,2)(0,0,0)[0] Total fit time: 1.131 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=139.666, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=135.711, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=137.669, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=137.671, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=149.319, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.058 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=158.252, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=152.549, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=156.387, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=151.108, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=151.292, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=149.282, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=150.709, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=149.501, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=143.255, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=141.255, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=140.448, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=141.295, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=143.255, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.444 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=86.434, Time=0.01 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=72.722, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=68.183, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=66.703, Time=0.01 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,2,0)(0,0,0)[0] intercept : AIC=68.286, Time=0.02 sec Best model: ARIMA(3,2,0)(0,0,0)[0] Total fit time: 0.222 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=90.569, Time=0.00 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=65.303, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=62.090, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=52.441, Time=0.02 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec ARIMA(3,2,0)(0,0,0)[0] intercept : AIC=54.360, Time=0.02 sec Best model: ARIMA(3,2,0)(0,0,0)[0] Total fit time: 0.251 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=162.576, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=156.818, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,0)(0,0,0)[0] : AIC=160.589, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=147.132, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=148.629, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.12 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=145.153, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=154.834, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=146.655, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=144.085, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=142.308, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=141.239, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=142.058, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=143.276, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.451 seconds Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=70.979, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=59.567, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=69.070, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=59.738, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=57.686, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=57.862, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.07 sec Best model: ARIMA(1,1,0)(0,0,0)[0] Total fit time: 0.415 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=24.667, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=33.753, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=22.675, Time=0.02 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=25.733, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=38.153, Time=0.01 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=24.663, Time=0.02 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=26.621, Time=0.02 sec ARIMA(1,0,0)(0,0,0)[0] : AIC=23.108, Time=0.01 sec Best model: ARIMA(1,0,0)(0,0,0)[0] intercept Total fit time: 0.113 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=54.088, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=55.429, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=55.183, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=57.867, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.095 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=99.163, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=83.515, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=97.216, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=77.747, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=73.466, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=71.971, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=76.042, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=67.644, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=66.832, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=65.110, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=64.158, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=64.877, Time=0.04 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=81.591, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=66.288, Time=0.05 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.557 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=212.006, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=232.771, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=218.910, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=210.011, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=230.775, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=212.007, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=213.943, Time=0.03 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=208.742, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=210.740, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=210.741, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=216.944, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=212.661, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.154 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=55.716, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=53.477, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=54.760, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=54.521, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=57.280, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.068 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=82.928, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=72.965, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=80.995, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=72.628, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=74.190, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=70.722, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=71.053, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=72.285, Time=0.04 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.539 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=105.294, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=85.451, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=103.342, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=78.982, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=79.035, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=77.070, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=83.525, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=77.127, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.05 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=inf, Time=0.10 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.578 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=29.082, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=28.414, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=19.424, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=27.282, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=inf, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] intercept Total fit time: 0.300 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=124.489, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=120.945, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=122.810, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=122.778, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=130.415, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.056 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=87.197, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=125.951, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=98.696, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=123.983, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=97.339, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=85.515, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=86.286, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=96.754, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=86.872, Time=0.03 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=86.595, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=86.133, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=95.401, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=inf, Time=0.08 sec Best model: ARIMA(1,1,1)(0,0,0)[0] Total fit time: 0.632 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=71.444, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=73.288, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=73.265, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=72.538, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.110 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=134.803, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=131.394, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=132.820, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=132.874, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=136.378, Time=0.00 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.066 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=68.585, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=61.655, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=66.662, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=52.914, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=54.355, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=51.059, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=59.757, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=52.504, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=50.351, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=48.689, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=46.898, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=48.650, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.05 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.520 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=66.238, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=68.035, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=67.993, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=67.356, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.096 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=54.228, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=51.863, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=52.631, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=52.187, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=50.348, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=50.876, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=47.841, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=45.844, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=47.840, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=49.844, Time=0.01 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.266 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=129.399, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=123.958, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,0)(0,0,0)[0] : AIC=127.801, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=111.856, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=113.570, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=113.463, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=110.534, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=122.437, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=112.289, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=112.209, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=112.657, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=112.288, Time=0.03 sec Best model: ARIMA(2,1,0)(0,0,0)[0] Total fit time: 0.380 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=139.612, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=134.062, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=137.909, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=133.085, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=120.308, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=121.856, Time=0.04 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=118.884, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=131.475, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=120.586, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=124.003, Time=0.02 sec Best model: ARIMA(3,1,0)(0,0,0)[0] Total fit time: 0.350 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=73.322, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=91.693, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=87.240, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=71.406, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=89.741, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=69.507, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=71.421, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=70.884, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=85.297, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.04 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.297 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=33.165, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=29.904, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=31.568, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=31.404, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=33.312, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.074 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=45.547, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=46.651, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=45.652, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=52.265, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.092 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=18.405, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=47.794, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=28.208, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=19.556, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=45.937, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=20.368, Time=0.05 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=20.388, Time=0.04 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=18.681, Time=0.03 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=20.873, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=20.761, Time=0.07 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=17.536, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=18.987, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=26.443, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=19.437, Time=0.04 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=19.488, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=17.738, Time=0.02 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=19.170, Time=0.02 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=19.661, Time=0.04 sec Best model: ARIMA(1,1,1)(0,0,0)[0] Total fit time: 0.465 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=131.461, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=145.574, Time=0.00 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=134.904, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=129.767, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=143.872, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=131.343, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=128.849, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=130.524, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=130.393, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=133.514, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.278 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=64.640, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=51.959, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=62.731, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=50.697, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=47.626, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=46.051, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=48.953, Time=0.01 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=44.297, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=43.177, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=41.179, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=40.246, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=41.127, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=50.097, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=42.935, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.500 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=119.237, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=112.043, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=105.843, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=117.380, Time=0.00 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=104.924, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=105.458, Time=0.02 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=105.482, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=110.488, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=107.413, Time=0.03 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.333 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=27.963, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=25.497, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=26.456, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=26.151, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,0)(0,0,0)[0] : AIC=28.765, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.061 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=35.912, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=34.217, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=35.365, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=34.838, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=38.636, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.061 seconds Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=75.805, Time=0.02 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=72.480, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=74.184, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=74.120, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=74.413, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.068 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=101.534, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=98.810, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=99.568, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=97.455, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=97.823, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=95.547, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=96.881, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=95.930, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=89.368, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=87.788, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=87.135, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=87.546, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=89.503, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.442 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=100.645, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=126.540, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=103.814, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=101.226, Time=0.03 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=124.569, Time=0.00 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=102.569, Time=0.04 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=101.356, Time=0.04 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=98.194, Time=0.05 sec ARIMA(0,1,3)(0,0,0)[0] intercept : AIC=99.405, Time=0.05 sec ARIMA(1,1,3)(0,0,0)[0] intercept : AIC=101.403, Time=0.08 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=97.654, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=100.830, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=100.926, Time=0.03 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=98.595, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=100.228, Time=0.02 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=100.583, Time=0.05 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.458 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=146.671, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=133.220, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=144.691, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=128.125, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=108.862, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=107.385, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=111.524, Time=0.03 sec ARIMA(3,1,2)(0,0,0)[0] intercept : AIC=108.679, Time=0.05 sec ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=105.486, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=109.980, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=106.914, Time=0.01 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=106.845, Time=0.03 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=126.158, Time=0.01 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=113.237, Time=0.05 sec Best model: ARIMA(3,1,1)(0,0,0)[0] Total fit time: 0.516 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=44.351, Time=0.02 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=74.413, Time=0.00 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=54.983, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=43.997, Time=0.02 sec ARIMA(0,2,2)(0,0,0)[0] : AIC=44.033, Time=0.03 sec ARIMA(1,2,2)(0,0,0)[0] : AIC=45.588, Time=0.04 sec ARIMA(0,2,1)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec Best model: ARIMA(0,2,1)(0,0,0)[0] Total fit time: 0.181 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=87.840, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=85.808, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=85.899, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=81.655, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=83.079, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=79.805, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=83.916, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=81.240, Time=0.01 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=76.073, Time=0.02 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=74.575, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=75.710, Time=0.01 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=75.170, Time=0.03 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=73.745, Time=0.02 sec ARIMA(0,1,3)(0,0,0)[0] : AIC=75.443, Time=0.02 sec ARIMA(1,1,3)(0,0,0)[0] : AIC=76.976, Time=0.05 sec ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec Best model: ARIMA(0,1,2)(0,0,0)[0] Total fit time: 0.620 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=52.419, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=49.489, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=51.024, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=50.787, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=52.214, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.059 seconds Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=49.859, Time=0.02 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=139.219, Time=0.01 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=78.659, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.04 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=48.652, Time=0.03 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=61.888, Time=0.01 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=50.566, Time=0.04 sec ARIMA(2,2,2)(0,0,0)[0] : AIC=50.520, Time=0.05 sec ARIMA(1,2,2)(0,0,0)[0] : AIC=48.531, Time=0.03 sec ARIMA(0,2,2)(0,0,0)[0] : AIC=58.054, Time=0.03 sec ARIMA(1,2,3)(0,0,0)[0] : AIC=50.523, Time=0.05 sec ARIMA(0,2,3)(0,0,0)[0] : AIC=52.382, Time=0.06 sec ARIMA(2,2,3)(0,0,0)[0] : AIC=52.502, Time=0.07 sec ARIMA(1,2,2)(0,0,0)[0] intercept : AIC=inf, Time=0.06 sec Best model: ARIMA(1,2,2)(0,0,0)[0] Total fit time: 0.495 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,2,1)(0,0,0)[0] : AIC=27.951, Time=0.03 sec ARIMA(0,2,0)(0,0,0)[0] : AIC=68.278, Time=0.01 sec ARIMA(1,2,0)(0,0,0)[0] : AIC=35.029, Time=0.01 sec ARIMA(0,2,1)(0,0,0)[0] : AIC=inf, Time=0.02 sec ARIMA(2,2,1)(0,0,0)[0] : AIC=29.849, Time=0.04 sec ARIMA(1,2,2)(0,0,0)[0] : AIC=30.412, Time=0.02 sec ARIMA(0,2,2)(0,0,0)[0] : AIC=34.729, Time=0.02 sec ARIMA(2,2,0)(0,0,0)[0] : AIC=27.897, Time=0.01 sec ARIMA(3,2,0)(0,0,0)[0] : AIC=29.850, Time=0.02 sec ARIMA(3,2,1)(0,0,0)[0] : AIC=30.451, Time=0.05 sec ARIMA(2,2,0)(0,0,0)[0] intercept : AIC=29.399, Time=0.02 sec Best model: ARIMA(2,2,0)(0,0,0)[0] Total fit time: 0.244 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=28.071, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=25.028, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=26.540, Time=0.02 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=26.374, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=28.290, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.076 seconds Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=47.738, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=38.641, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=45.881, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=36.367, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=38.367, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=38.367, Time=0.03 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=34.573, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=36.826, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=36.573, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=36.573, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=31.066, Time=0.02 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=29.813, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=31.221, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=32.582, Time=0.05 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.503 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=8.889, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=4.889, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=6.889, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=6.889, Time=0.01 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=3.223, Time=0.00 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.049 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.08 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=97.462, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=98.154, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=95.515, Time=0.01 sec Best model: ARIMA(0,1,0)(0,0,0)[0] Total fit time: 0.137 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=58.861, Time=0.02 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=79.405, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=56.874, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=77.482, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=58.871, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.10 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=55.198, Time=0.01 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=57.193, Time=0.01 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=57.176, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] : AIC=51.640, Time=0.01 sec ARIMA(0,1,2)(0,0,0)[0] : AIC=53.637, Time=0.02 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=54.257, Time=0.02 sec Best model: ARIMA(0,1,1)(0,0,0)[0] Total fit time: 0.305 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=130.086, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=142.097, Time=0.00 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=128.745, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=128.349, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=152.027, Time=0.00 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=130.207, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=129.839, Time=0.04 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=133.560, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.106 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=62.268, Time=0.04 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=59.010, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=60.421, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=60.529, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=63.839, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.074 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.05 sec ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=60.324, Time=0.01 sec ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=40.138, Time=0.01 sec ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.07 sec ARIMA(0,1,0)(0,0,0)[0] : AIC=58.435, Time=0.00 sec ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=39.842, Time=0.02 sec ARIMA(3,1,0)(0,0,0)[0] intercept : AIC=41.110, Time=0.03 sec ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,1,1)(0,0,0)[0] intercept : AIC=inf, Time=0.11 sec ARIMA(2,1,0)(0,0,0)[0] : AIC=38.025, Time=0.02 sec ARIMA(1,1,0)(0,0,0)[0] : AIC=38.311, Time=0.01 sec ARIMA(3,1,0)(0,0,0)[0] : AIC=39.297, Time=0.02 sec ARIMA(2,1,1)(0,0,0)[0] : AIC=34.302, Time=0.03 sec ARIMA(1,1,1)(0,0,0)[0] : AIC=35.214, Time=0.02 sec ARIMA(3,1,1)(0,0,0)[0] : AIC=36.289, Time=0.04 sec ARIMA(2,1,2)(0,0,0)[0] : AIC=36.293, Time=0.06 sec ARIMA(1,1,2)(0,0,0)[0] : AIC=36.694, Time=0.03 sec ARIMA(3,1,2)(0,0,0)[0] : AIC=37.819, Time=0.07 sec Best model: ARIMA(2,1,1)(0,0,0)[0] Total fit time: 0.683 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=17.632, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=19.709, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=19.557, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=19.405, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=21.908, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=23.325, Time=0.03 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=inf, Time=0.04 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=21.108, Time=0.03 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=21.380, Time=0.02 sec ARIMA(2,0,2)(0,0,0)[0] intercept : AIC=17.312, Time=0.07 sec ARIMA(3,0,2)(0,0,0)[0] intercept : AIC=18.640, Time=0.08 sec ARIMA(2,0,3)(0,0,0)[0] intercept : AIC=18.706, Time=0.09 sec ARIMA(1,0,3)(0,0,0)[0] intercept : AIC=inf, Time=0.09 sec ARIMA(3,0,1)(0,0,0)[0] intercept : AIC=25.183, Time=0.04 sec ARIMA(3,0,3)(0,0,0)[0] intercept : AIC=20.636, Time=0.10 sec ARIMA(2,0,2)(0,0,0)[0] : AIC=19.356, Time=0.05 sec Best model: ARIMA(2,0,2)(0,0,0)[0] intercept Total fit time: 0.707 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=46.845, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=43.418, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=45.183, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=45.109, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=45.115, Time=0.01 sec Best model: ARIMA(0,0,0)(0,0,0)[0] intercept Total fit time: 0.070 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=78.213, Time=0.03 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=80.789, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=78.337, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=80.211, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=85.485, Time=0.01 sec ARIMA(2,0,1)(0,0,0)[0] intercept : AIC=76.296, Time=0.03 sec ARIMA(2,0,0)(0,0,0)[0] intercept : AIC=75.818, Time=0.02 sec ARIMA(3,0,0)(0,0,0)[0] intercept : AIC=75.664, Time=0.02 sec ARIMA(3,0,1)(0,0,0)[0] intercept : AIC=77.643, Time=0.04 sec ARIMA(3,0,0)(0,0,0)[0] : AIC=76.443, Time=0.01 sec Best model: ARIMA(3,0,0)(0,0,0)[0] intercept Total fit time: 0.166 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Performing stepwise search to minimize aic ARIMA(1,0,1)(0,0,0)[0] intercept : AIC=81.436, Time=0.02 sec ARIMA(0,0,0)(0,0,0)[0] intercept : AIC=82.385, Time=0.01 sec ARIMA(1,0,0)(0,0,0)[0] intercept : AIC=80.153, Time=0.01 sec ARIMA(0,0,1)(0,0,0)[0] intercept : AIC=79.442, Time=0.01 sec ARIMA(0,0,0)(0,0,0)[0] : AIC=86.075, Time=0.01 sec ARIMA(0,0,2)(0,0,0)[0] intercept : AIC=81.434, Time=0.01 sec ARIMA(1,0,2)(0,0,0)[0] intercept : AIC=83.410, Time=0.04 sec ARIMA(0,0,1)(0,0,0)[0] : AIC=81.213, Time=0.01 sec Best model: ARIMA(0,0,1)(0,0,0)[0] intercept Total fit time: 0.115 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
Processing took 573.8881 seconds
# Specify date and name and export the file.
date_time=datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
name=date_time+'_4_week_prediction_per_hex_sewer_blocked.csv'
pd.DataFrame(regress_results, columns=['h3_level8_index', '4 week predictions', 'Model used']).to_csv(name)
MAJOR CONTRIBUTORS
# Plot count of cause codes for the chosen service request type.
fig = px.bar(sr_hex_sewers['cause_code'].value_counts().reset_index().head(20), y='cause_code', x='index', text_auto='.2s',
title="Top 20 ranked causes of 'Sewer: Blocked/Overflow' service requests")
fig.show()
The top 5 drivers for "Sewer: Blocked/Overflow" type is Foreign Objects, Rags, Fats, Roots and No cause found.
- Robust testing of both models, R-squared/MSE for Ridge and ARIMA.<br>
- Indicate turn around times for the top 5 drivers this could provide insights into resource allocation. <br>
- For the top 5 drivers look at spatial and temporal occurances to see if these are amplified in specific areas and/or specific times of the year. <br>
- Create a function that filters for time (1day) and then radial distance (~100m), this could possibly indicate that service requests are linked. This could indicate different complaints for the same breach in service delivery. (100m is arbitrary, for example, all minor sewer lines will likely be within 100m of a bulk line. 1day is arbitrary as, for example, multiple households will complain for a linked blockage, because sewerage removal is critical people will complain timeously). <br>
- A map of these clustered complaints could assist highlighting problem zones.
Using the sr_hex.csv dataset perform the following:
Section 2.2:
For this classification challenge is was decided to filter requests where the requester was most likely at home. It was assumed that the latitude and longitude coordinates provided for the request was the location where the request was made. It was then also assumed that during lockdown level 4 and 5 that a requester would be at home. This would also be true for any other time in the year where it was Saturday and Sunday and before and after 6am on 5pm during weekdays, respectively. This would then assist to classify a request as "at home" or "at work" after which the full set of requests would be filterd for only "at home" cases. Additionally to this a second filter would be applied whereby duplicates for the the latitude and longitude would be removed. This is done to remove instances of 1 requester reflecting in the dataset more than once. This subset of service requests would then be used to calculate the service request density per hex and a natural break and kmeans model will be applied to this 1 dimensional service request density dataset.
# Reload the unmodified "sr_hex" file.
sr_hex=pd.read_csv('20220703_231236_service_requests_8hex.csv')
# Specify function annotations.
c19lockdown_level_rdme={
'type':str,
'units':'Lockdown level',
'docstring':"""Function takes the date of a service request in 2020 and returns a lockdown level for that request.
"""
}
# Define function.
def c19lockdown_level(date)->c19lockdown_level_rdme:
if datetime.datetime.fromisoformat('2020-03-26 00:00:00+02:00') <= date <= datetime.datetime.fromisoformat('2020-04-30 23:59:59+02:00'):
return 'Level 5'
if datetime.datetime.fromisoformat('2020-05-01 00:00:00+02:00') <= date <= datetime.datetime.fromisoformat('2020-05-31 23:59:59+02:00'):
return 'Level 4'
if datetime.datetime.fromisoformat('2020-06-01 00:00:00+02:00') <= date <= datetime.datetime.fromisoformat('2020-08-17 23:59:59+02:00'):
return 'Level 3'
if datetime.datetime.fromisoformat('2020-08-18 00:00:00+02:00') <= date <= datetime.datetime.fromisoformat('2020-09-20 23:59:59+02:00'):
return 'Level 2'
if datetime.datetime.fromisoformat('2020-09-21 00:00:00+02:00') <= date <= datetime.datetime.fromisoformat('2020-12-28 23:59:59+02:00'):
return 'Level 1'
if datetime.datetime.fromisoformat('2020-12-29 00:00:00+02:00') <= date <= datetime.datetime.fromisoformat('2020-12-31 23:59:59+02:00'):
return 'Level 3'
return "No lockdown"
# Specify function annotations.
home_office_hours_rdme={
'type':str,
'units':'home or work hours',
'docstring':"""Function in a day and hour of the service request and outputs whether it was done during home or office hours.
"""
}
# Define function.
def home_office_hours(day, hour)->home_office_hours_rdme:
if day=='Saturday' or day=='Sunday':
return 'home hours'
if 6 <= hour <= 17:
return 'office hours'
else:
return 'home hours'
# Specify function annotations.
c19lockdown_level_rdme={
'type':str,
'units':'Lockdown level',
'docstring':"""Function takes a data in 2020 and returns a lockdown level.
"""
}
# Define function.
def home_office_location(level, home_work):
if level=='Level 5' or level=='Level 4' or home_work=='home hours':
return 'At home'
else:
return 'At work'
# Specify function annotations.
dbscan_analysis_rdme={
'type':dict,
'units':'Varied',
'docstring':"""Function takes in coordinates, distance, and minimum number of samples as well as...
...containment method ('cluster' or '') and containment geometry attributes and supplies...
...a with the original point set, a dataframe of the clusters and either a weighted average...
...point density or containment geometry point density (eg. service requests/sqkm for a hex).
Function uses the dbscan algorithm.
"""
}
# Define function.
def dbscan_analysis(coords, dist, samples, containment, contain_geometry_name, contain_geometry_area)->dbscan_analysis_rdme:
# Record total points before clustering.
total_points=len(coords)
# Run spatial clustering for coordinates.
coords=np.array(coords)
kms_per_radian = 6371.0088 #Radius of earth.
epsilon = dist/ kms_per_radian #Distance between two centroids is the diag with safety factor.
db = DBSCAN(eps=epsilon, min_samples=samples, algorithm='ball_tree', metric='haversine').fit(np.radians(coords))
cluster_labels = db.labels_
num_clusters = len(set(cluster_labels))
clusters = pd.Series([coords[cluster_labels == n] for n in range(num_clusters)])
# Create cluster dataframe, sort for number of points per cluster and convert clusters to Points object.
cluster_pd=pd.DataFrame(clusters, columns=['Clusters'])
cluster_pd['Number of points in Cluster']=cluster_pd['Clusters'].apply(lambda x: len(x))
cluster_pd=cluster_pd.sort_values(by=['Number of points in Cluster'], ascending=False).reset_index(drop=True)
cluster_pd['Clusters']=cluster_pd.apply(lambda x: [Point(y) for y in x['Clusters']] if x['Number of points in Cluster']!=0 else 0, axis=1)
# Remove empty clusters.
cluster_pd=cluster_pd[cluster_pd['Clusters']!=0].reset_index(drop=True) #Remove unfilled list, empty cluster.
# Create a convex hull geometry to contain all points and calculate area of convex geometry.
cluster_pd['Convex hull geometry']=cluster_pd['Clusters'].apply(lambda x: MultiPoint(x).convex_hull)
cluster_pd['Convex hull area sqkm']=cluster_pd['Convex hull geometry'].apply(lambda x: area_me(x))
# Remove all other geometries which are not Polygons (geometry.geom_type - 'Polygon')
cluster_pd['Convex hull geometry type']=cluster_pd['Convex hull geometry'].apply(lambda x: x.geom_type )
cluster_pd=cluster_pd[cluster_pd['Convex hull geometry type']=='Polygon'].reset_index(drop=True)
# Remove all excessively small Convex hull areas (< 10 sqm). This should filter out for irregular polygons, not the best method.
cluster_pd=cluster_pd[cluster_pd['Convex hull area sqkm']>1*10**(-5)].reset_index(drop=True)
# if no clusters are found after the filter is applied, exit with current information.
if containment=='yes' and len(cluster_pd)==0:
return {
'Original coordinates':coords,
'clusters_pd':'No clusters found',
'weighted point density':total_points/contain_geometry_area,
}
elif containment!='yes' and len(cluster_pd)==0:
return {
'Original coordinates':coords,
'clusters_pd':'No clusters found',
'weighted point density':'No containment geometry',
}
# Calculate cluster density.
cluster_pd['Cluster density - Requests per sqkm']=cluster_pd.apply(lambda x: len(x['Clusters'])/x['Convex hull area sqkm'] if x['Convex hull area sqkm']>0 else 0, axis=1)
# Calculate weighted point density contribution for clustered points.
cluster_pd['Weighted value']=(cluster_pd['Number of points in Cluster']/total_points)*cluster_pd['Cluster density - Requests per sqkm']
cluster_weight=cluster_pd['Weighted value'].sum()
if containment=='yes':
# Calculate remaining points (free point) count, hex density and weighed density contribution to total.
remain_points=total_points-cluster_pd['Number of points in Cluster'].sum()
remain_area=contain_geometry_area-cluster_pd['Convex hull area sqkm'].sum()
remain_density=remain_points/remain_area
remain_weight=(remain_points/total_points)*remain_density
# Calculate weighted density for containment polygon.
containment_density=cluster_weight+remain_weight
# Assign containment polygon name to dataframe.
cluster_pd['Containment Geometry']=contain_geometry_name
return {
'Original coordinates':coords,
'clusters_pd':cluster_pd,
'weighted point density':containment_density,
}
else:
return {
'Original coordinates':coords,
'clusters_pd':cluster_pd,
'weighted point density':cluster_weight,
}
# Specify function annotations.
cluster_vs_hexavg_rdme={
'type':'Dataframe',
'units':'Dependant on Dataframe columns.',
'docstring':"""Function exports the results of applying either the dbscan clustering or standard service requests per sqkm per hex.
"""
}
# Define function.
def cluster_vs_hexavg(dataset, mode)->cluster_vs_hexavg_rdme:
# Copy dataframe:
df=dataset.copy()
# Obtain unique hex indices.
hex_uni=df['h3_level8_index'].unique()
if mode=='cluster':
hex_density_weights=[]
start=time.time()
for hex_ in hex_uni:
hex_filt_subset=df[df['h3_level8_index']==hex_].reset_index(drop=True)
hex_density_weights.append([hex_, dbscan_analysis(hex_filt_subset['Point geometry tuple'].tolist(), 0.02, 5, 'yes', hex_, 0.699553)['weighted point density']])
duration=round(time.time()-start, 4)
print('Processing took {}seconds.'.format(duration))
return pd.DataFrame(hex_density_weights, columns=['h3_level8_index', 'Weighted Service Request per sqkm'])
else:
hex_density_weights=[]
start=time.time()
for hex_ in hex_uni:
hex_filt_subset=df[df['h3_level8_index']==hex_].reset_index(drop=True)
hex_density_weights.append([hex_, len(hex_filt_subset)/0.699553])
duration=round(time.time()-start, 4)
print('Processing took {}seconds.'.format(duration))
return pd.DataFrame(hex_density_weights, columns=['h3_level8_index', 'Weighted Service Request per sqkm'])
# Specify function annotations.
outlier_bounds_rdme={
'type':list,
'units':'Dependant on input list units',
'docstring':"""Function takes in a list of values (floats/int) and outputs the min and max value, below and above which (respectively) outliers will be found.
"""
}
# Define function.
def outlier_bounds(oned_data)->outlier_bounds_rdme:
q75,q25 = np.percentile(oned_data,[75,25])
intr_qr = q75-q25
max_ = q75+(1.5*intr_qr)
min_ = q25-(1.5*intr_qr)
return [min_, max_]
# Specify function annotations.
outlier_class_rdme={
'type':str,
'units':'yes or no',
'docstring':"""Function takes a value and the min max value from "outlier_bounds" and defines whether the value is an outlier or not.
"""
}
# Define function.
def outlier_class(value, min_, max_)->outlier_class_rdme:
if min_<=value<=max_:
return 'no'
else:
return 'yes'
"""
These functions were sourced from https://gist.github.com/drewda/1299198 as the library jenkspy is not compatible with pyton 3.9.
These functions were also cross-reference with that found in the jenkspy github repository,
"https://github.com/mthh/jenkspy/blob/master/jenkspy/core.py" and the jenks repository
"https://github.com/perrygeo/jenks/blob/master/jenks.pyx"
"""
# Specify function annotations.
getJenksBreaks_rdme={
'type':list,
'units':'Dependant on input list',
'docstring':"""Function takes a list of data values as well as the number of classes and applies natural breaks to output the intervals.
"""
}
# Define function.
def getJenksBreaks(dataList, numClass)->getJenksBreaks_rdme:
dataList.sort()
mat1 = []
for i in range(0,len(dataList)+1):
temp = []
for j in range(0,numClass+1):
temp.append(0)
mat1.append(temp)
mat2 = []
for i in range(0,len(dataList)+1):
temp = []
for j in range(0,numClass+1):
temp.append(0)
mat2.append(temp)
for i in range(1,numClass+1):
mat1[1][i] = 1
mat2[1][i] = 0
for j in range(2,len(dataList)+1):
mat2[j][i] = float('inf')
v = 0.0
for l in range(2,len(dataList)+1):
s1 = 0.0
s2 = 0.0
w = 0.0
for m in range(1,l+1):
i3 = l - m + 1
val = float(dataList[i3-1])
s2 += val * val
s1 += val
w += 1
v = s2 - (s1 * s1) / w
i4 = i3 - 1
if i4 != 0:
for j in range(2,numClass+1):
if mat2[l][j] >= (v + mat2[i4][j - 1]):
mat1[l][j] = i3
mat2[l][j] = v + mat2[i4][j - 1]
mat1[l][1] = 1
mat2[l][1] = v
k = len(dataList)
kclass = []
for i in range(0,numClass+1):
kclass.append(0)
kclass[numClass] = float(dataList[len(dataList) - 1])
countNum = numClass
while countNum >= 2:#print "rank = " + str(mat1[k][countNum])
id = int((mat1[k][countNum]) - 2)
#print "val = " + str(dataList[id])
kclass[countNum - 1] = dataList[id]
k = int((mat1[k][countNum] - 1))
countNum -= 1
return kclass
# Specify function annotations.
getGVF_rdme={
'type':float,
'units':'unitless',
'docstring':"""Function takes a list of data values as well as the number of classes and outputs the the Goodness of Variance Fit between 0 and 1.
"""
}
# Define function.
def getGVF(dataList, numClass)->getGVF_rdme:
"""
The Goodness of Variance Fit (GVF) is found by taking the
difference between the squared deviations
from the array mean (SDAM) and the squared deviations from the
class means (SDCM), and dividing by the SDAM
"""
breaks = getJenksBreaks(dataList, numClass)
dataList.sort()
listMean = sum(dataList)/len(dataList)
# print listMean
SDAM = 0.0
for i in range(0,len(dataList)):
sqDev = (dataList[i] - listMean)**2
SDAM += sqDev
SDCM = 0.0
for i in range(0,numClass):
if breaks[i] == 0:
classStart = 0
else:
classStart = dataList.index(breaks[i])
classStart += 1
classEnd = dataList.index(breaks[i+1])
classList = dataList[classStart:classEnd+1]
classMean = sum(classList)/len(classList)
# print classMean
preSDCM = 0.0
for j in range(0,len(classList)):
sqDev2 = (classList[j] - classMean)**2
preSDCM += sqDev2
SDCM += preSDCM
return (SDAM - SDCM)/SDAM
# Specify function annotations.
classify_rdme={
'type':int,
'units':'unitless',
'docstring':"""Function takes a value and the breaks outputted from "getJenksBreaks" and assigns the interval to which the value belongs.
"""
}
# Define function.
def classify(value, breaks)->classify_rdme:
for i in range(1, len(breaks)):
if value < breaks[i]:
return i
return len(breaks) - 1
# Convert to datetime object.
sr_hex['creation datetime']=sr_hex['creation_timestamp'].apply(lambda x: datetime.datetime.fromisoformat(x))
# Extract month from datetime object.
sr_hex['creation month']=sr_hex['creation datetime'].apply(lambda x: x.strftime("%B"))
# Extract week from datetime object.
sr_hex['creation week']=sr_hex['creation datetime'].apply(lambda x: x.strftime("%V"))
# Extract day from datetime object.
sr_hex['creation day']=sr_hex['creation datetime'].apply(lambda x: x.strftime("%A"))
# Extract hour from datetime object.
sr_hex['creation hour']=sr_hex['creation datetime'].apply(lambda x: x.hour)
# Assign lockdown level.
sr_hex['Lockdown Level']=sr_hex['creation datetime'].apply(lambda x: c19lockdown_level(x))
# Assign home/office hours.
sr_hex['Home or office hours']=sr_hex.apply(lambda x: home_office_hours(x['creation day'], x['creation hour']), axis=1)
# Assign whether the call was made at home or at the office.
sr_hex['Home to Office location']=sr_hex.apply(lambda x: home_office_location(x['Lockdown Level'], x['Home or office hours']), axis=1)
# Add a key for "code lat lon month"
sr_hex['code lat lon month key']=sr_hex['code'].astype(str)+'_'+sr_hex['latitude'].astype(str)+'_'+sr_hex['longitude'].astype(str)+'_'+sr_hex['creation month'].astype(str)
# Add a key for "lat lon"
sr_hex['lat lon key']=sr_hex['latitude'].astype(str)+'_'+sr_hex['longitude'].astype(str)
# Check the request count per lockdown level.
sr_hex['Lockdown Level'].value_counts(), sr_hex['Lockdown Level'].value_counts().sum()
(Level 1 291139 No lockdown 246837 Level 3 209982 Level 2 100253 Level 4 47463 Level 5 45960 Name: Lockdown Level, dtype: int64, 941634)
Not mant requests occurred for lockdown level 4 and 5, these levels would be ideal for increasing the chance that service requests were logged when the requester was at home.
# Check the request count per office/home hours.
sr_hex['Home or office hours'].value_counts()
office hours 703031 home hours 238603 Name: Home or office hours, dtype: int64
The bulk of the service requests occurred during office hours.
# Filter all service requests for only designated at home and ignoring non-assigned hex indices.
sr_hex_filt=sr_hex[(sr_hex['Home to Office location']=='At home') & (sr_hex['h3_level8_index']!='0')].reset_index(drop=True)
# sr_hex_filt.drop_duplicates(subset=['code lat lon month key'], inplace=True)
sr_hex_filt.drop_duplicates(subset=['lat lon key'], inplace=True)
sr_hex_filt['Point geometry tuple']=sr_hex_filt.apply(lambda x: (x['longitude'], x['latitude']), axis=1)
It must be note that although the hex density is being referred to as a "Weighted Service Request per sqkm" it is in fact not weighted. The first iteration of the model used the clustering methology (which will be explained shortly), however this proved to be more problematic due to high aspect ratio geometries. The "Weighted Service Request per sqkm" should instead be termed "Service Request per sqkm".
The code to follow was fully constructed to call from this specific column name and should have rather been made more generic and ultimately, less confusing.
# Run calculation for Service requests per sqkm for hex.
hex_density_weights_pd=cluster_vs_hexavg(sr_hex_filt, '')
hex_density_weights_pd
Processing took 10.5851seconds.
| h3_level8_index | Weighted Service Request per sqkm | |
|---|---|---|
| 0 | 88ad36d43dfffff | 244.441808 |
| 1 | 88ad361ac7fffff | 480.306710 |
| 2 | 88ad361149fffff | 314.486536 |
| 3 | 88ad3612adfffff | 191.550890 |
| 4 | 88ad361195fffff | 408.832497 |
| ... | ... | ... |
| 1771 | 88ad360aebfffff | 1.429484 |
| 1772 | 88ad361987fffff | 1.429484 |
| 1773 | 88ad360997fffff | 1.429484 |
| 1774 | 88ad361469fffff | 1.429484 |
| 1775 | 88ad360a43fffff | 1.429484 |
1776 rows × 2 columns
Originally a clustering excercise was used. This worked by taking all the points within the hex and applying a dbscan clustering model to these points. The purpose of this was to look for clusters of 5 min points with each point being a maximum of 20m from another point in the cluster and to use these clustered points to get a sub-area within the hex of a more localised service request density. With these clustered points, a convex geometry is derived which encompasses each clustered group and thus a sub-hex service request density could be derived. It was then decided to generate a weighted sub-hex service request density by looking at all clusters within a hex, also considering the points that werent clustered within that hex. This logic can be found in the "dbscan_analysis" function.
What was found was that excessively small geometries, led to small subhex areas and ultimately very high serve request densities. This was partially accomodated for by assuming a minimum size of 10sqm for sub_areas within a hex. This did improve the distribution but excessively high service request densities were still obtained.
A possible improved methodology would be to use the agglomerative clustering model to instead set a predefinded radial limit with a minimum number of requests. This would also serve to prevent high aspect ratio geometries when using the dbscan model.
It was decided to instead use the standard service requests per sqkm metric (derived from the service requests counts per hex area) to proceed with the population classification.
# Create geodataframe from hex weights.
hex_dens_gpd=gpd.GeoDataFrame(
hex_density_weights_pd.merge(hex8[['index', 'geometry']], left_on='h3_level8_index', right_on='index', how='left'),
geometry='geometry',
crs='EPSG:4326'
)
# Modify geodataframe to accomodate for layering in plotly map.
hex_dens_gpd_filt=hex_dens_gpd[~(hex_dens_gpd['geometry'].isna())].reset_index(drop=True)
hex_dens_gpd_filt['Layer on/off']='on'
hex_dens_gpd_filt=hex_dens_gpd_filt.append(pd.DataFrame([['No layer', 0, 'No layer', Point(-33.80011792288416,18.61286875931004), 'off']], columns=['h3_level8_index','Weighted Service Request per sqkm','index','geometry', 'Layer on/off'])).reset_index(drop=True)
hex_dens_gpd_filt
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\409345266.py:4: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
| h3_level8_index | Weighted Service Request per sqkm | index | geometry | Layer on/off | |
|---|---|---|---|---|---|
| 0 | 88ad36d43dfffff | 244.441808 | 88ad36d43dfffff | POLYGON ((18.83357 -34.12038, 18.83596 -34.116... | on |
| 1 | 88ad361ac7fffff | 480.306710 | 88ad361ac7fffff | POLYGON ((18.63442 -33.90405, 18.63680 -33.900... | on |
| 2 | 88ad361149fffff | 314.486536 | 88ad361149fffff | POLYGON ((18.64306 -33.97503, 18.64545 -33.971... | on |
| 3 | 88ad3612adfffff | 191.550890 | 88ad3612adfffff | POLYGON ((18.54180 -33.99329, 18.54419 -33.989... | on |
| 4 | 88ad361195fffff | 408.832497 | 88ad361195fffff | POLYGON ((18.54943 -33.91404, 18.55181 -33.910... | on |
| ... | ... | ... | ... | ... | ... |
| 1771 | 88ad361987fffff | 1.429484 | 88ad361987fffff | POLYGON ((18.67349 -33.80012, 18.67588 -33.796... | on |
| 1772 | 88ad360997fffff | 1.429484 | 88ad360997fffff | POLYGON ((18.57035 -33.65995, 18.57274 -33.655... | on |
| 1773 | 88ad361469fffff | 1.429484 | 88ad361469fffff | POLYGON ((18.41769 -33.96456, 18.42008 -33.960... | on |
| 1774 | 88ad360a43fffff | 1.429484 | 88ad360a43fffff | POLYGON ((18.61287 -33.79768, 18.61525 -33.793... | on |
| 1775 | No layer | 0.000000 | No layer | POINT (-33.80012 18.61287) | off |
1776 rows × 5 columns
# Generate plotly map.
fig = px.choropleth_mapbox(hex_dens_gpd_filt,
geojson=hex_dens_gpd_filt['geometry'],
hover_name=hex_dens_gpd_filt['h3_level8_index'],
locations=hex_dens_gpd_filt.index,
color="Weighted Service Request per sqkm",
center={"lat": -33.99743, "lon": 18.53369},
mapbox_style="open-street-map",
# opacity=0.5,
zoom=9,
width=1000,
height=900,
animation_frame='Layer on/off',
)
fig.update_layout(
mapbox_style="white-bg",
mapbox_layers=[
{
"below": 'traces',
"sourcetype": "raster",
"sourceattribution": "United States Geological Survey",
"source": [
"https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}"
]
}
])
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
fig.show()
The following was noted from this map:
Evaluation of outliers
# Calculate the min max bounds for the dataset to generate outlier classification.
bounds_min, bounds_max=outlier_bounds(hex_density_weights_pd['Weighted Service Request per sqkm'].tolist())
bounds_min, bounds_max
(-301.4424925631082, 529.0878603908496)
# Review the number of outliers.
hex_dens_gpd['Outlier yes/no']=hex_dens_gpd['Weighted Service Request per sqkm'].apply(lambda x: outlier_class(x, bounds_min, bounds_max))
hex_dens_gpd['Outlier yes/no'].value_counts()
no 1716 yes 60 Name: Outlier yes/no, dtype: int64
Outliers constitute around 3.5%, which is reasonable. With the clustering methodoloy this value was just over 10%.
---Evaluation of an outlier
Short review of an outlier to highlight the large differences that can arise between the clustering (actual "Weighted Service Request per sqkm") and the total requests/hex area.
# The highest total requests/hex area entry is taken (which is an outlier).
hex_dens_gpd[hex_dens_gpd['Weighted Service Request per sqkm']==hex_dens_gpd['Weighted Service Request per sqkm'].max()]
| h3_level8_index | Weighted Service Request per sqkm | index | geometry | Outlier yes/no | |
|---|---|---|---|---|---|
| 401 | 88ad361009fffff | 1498.099501 | 88ad361009fffff | POLYGON ((18.57523 -33.98459, 18.57762 -33.980... | yes |
# Apply the clustering model to the hex.
outlier_1=dbscan_analysis(
sr_hex_filt[sr_hex_filt['h3_level8_index']=='88ad361009fffff']['Point geometry tuple'].tolist(),
0.02,
5,
'yes',
'88ad361009fffff',
0.699553,
)
outlier_1['clusters_pd']
| Clusters | Number of points in Cluster | Convex hull geometry | Convex hull area sqkm | Convex hull geometry type | Cluster density - Requests per sqkm | Weighted value | Containment Geometry | |
|---|---|---|---|---|---|---|---|---|
| 0 | [POINT (18.571461800147 -33.982997044688), POI... | 273 | POLYGON ((18.570675633336 -33.983808696103, 18... | 0.050884 | Polygon | 5365.104006 | 1397.589116 | 88ad361009fffff |
| 1 | [POINT (18.56984018124404 -33.98164995859197),... | 26 | POLYGON ((18.570390957633 -33.982097479416, 18... | 0.004030 | Polygon | 6451.748045 | 160.062452 | 88ad361009fffff |
| 2 | [POINT (18.569209644948 -33.983722133186), POI... | 17 | POLYGON ((18.56931178 -33.98375842, 18.5692096... | 0.001631 | Polygon | 10420.872559 | 169.040872 | 88ad361009fffff |
| 3 | [POINT (18.569980149838 -33.98406503121), POIN... | 15 | POLYGON ((18.569988852934 -33.984294933001, 18... | 0.000618 | Polygon | 24253.833838 | 347.144568 | 88ad361009fffff |
| 4 | [POINT (18.569417484016 -33.981279684756), POI... | 13 | POLYGON ((18.569415430889 -33.981686873623, 18... | 0.001350 | Polygon | 9630.872586 | 119.466931 | 88ad361009fffff |
| 5 | [POINT (18.57141885 -33.98100595), POINT (18.5... | 13 | POLYGON ((18.571275277126 -33.981204732334, 18... | 0.001309 | Polygon | 9931.832128 | 123.200208 | 88ad361009fffff |
| 6 | [POINT (18.569618333632 -33.98022167754), POIN... | 12 | POLYGON ((18.569617102385 -33.980465990911, 18... | 0.001036 | Polygon | 11584.310043 | 132.644771 | 88ad361009fffff |
| 7 | [POINT (18.57185341 -33.97995229), POINT (18.5... | 12 | POLYGON ((18.57196569884 -33.979985547424, 18.... | 0.001131 | Polygon | 10610.556421 | 121.494921 | 88ad361009fffff |
| 8 | [POINT (18.56934034 -33.98088269), POINT (18.5... | 11 | POLYGON ((18.569320959101 -33.981035029314, 18... | 0.000894 | Polygon | 12309.984255 | 129.207850 | 88ad361009fffff |
| 9 | [POINT (18.571858961024 -33.981776839112), POI... | 11 | POLYGON ((18.571857327809 -33.982102590286, 18... | 0.000859 | Polygon | 12805.874992 | 134.412810 | 88ad361009fffff |
| 10 | [POINT (18.568529441093 -33.982905358068), POI... | 10 | POLYGON ((18.568430447427 -33.983149328463, 18... | 0.000952 | Polygon | 10505.261457 | 100.241044 | 88ad361009fffff |
| 11 | [POINT (18.57097766 -33.98453924), POINT (18.5... | 9 | POLYGON ((18.570916725783 -33.984623333347, 18... | 0.000641 | Polygon | 14032.496564 | 120.508081 | 88ad361009fffff |
| 12 | [POINT (18.570283567089 -33.983893527343), POI... | 8 | POLYGON ((18.57028755 -33.98390532, 18.5702835... | 0.000103 | Polygon | 77928.560023 | 594.874504 | 88ad361009fffff |
| 13 | [POINT (18.569615206568 -33.983430257035), POI... | 8 | POLYGON ((18.569796204042 -33.983724185347, 18... | 0.000557 | Polygon | 14363.946549 | 109.648447 | 88ad361009fffff |
| 14 | [POINT (18.57013932 -33.97909243), POINT (18.5... | 7 | POLYGON ((18.57002300241 -33.979261181676, 18.... | 0.000249 | Polygon | 28061.204352 | 187.431708 | 88ad361009fffff |
| 15 | [POINT (18.57066965 -33.98159906), POINT (18.5... | 7 | POLYGON ((18.570685869329 -33.981772751864, 18... | 0.000267 | Polygon | 26229.218185 | 175.195160 | 88ad361009fffff |
| 16 | [POINT (18.569002917064 -33.982854323708), POI... | 6 | POLYGON ((18.569002917064 -33.982854323708, 18... | 0.000288 | Polygon | 20838.587878 | 119.304892 | 88ad361009fffff |
| 17 | [POINT (18.571660177777 -33.982427660994), POI... | 6 | POLYGON ((18.571659769276 -33.982509098778, 18... | 0.000251 | Polygon | 23914.597401 | 136.915634 | 88ad361009fffff |
| 18 | [POINT (18.57410007816404 -33.977359984589974)... | 6 | POLYGON ((18.57425815 -33.97742798, 18.5740943... | 0.000052 | Polygon | 116308.726285 | 665.889654 | 88ad361009fffff |
| 19 | [POINT (18.572641022286 -33.981779557731), POI... | 6 | POLYGON ((18.572641022286 -33.981779557731, 18... | 0.000271 | Polygon | 22153.137135 | 126.830938 | 88ad361009fffff |
| 20 | [POINT (18.571165660141 -33.983566087323), POI... | 6 | POLYGON ((18.57145853051 -33.983648546854, 18.... | 0.000245 | Polygon | 24447.576637 | 139.967042 | 88ad361009fffff |
| 21 | [POINT (18.570010177092 -33.980060168941), POI... | 5 | POLYGON ((18.569911191032 -33.980304140698, 18... | 0.000164 | Polygon | 30559.489057 | 145.799089 | 88ad361009fffff |
| 22 | [POINT (18.567173612602 -33.980375981193), POI... | 5 | POLYGON ((18.567173612602 -33.980375981193, 18... | 0.000153 | Polygon | 32671.106604 | 155.873600 | 88ad361009fffff |
| 23 | [POINT (18.57131532 -33.98009838), POINT (18.5... | 5 | POLYGON ((18.57151338 -33.98018169, 18.5711828... | 0.000117 | Polygon | 42834.989699 | 204.365409 | 88ad361009fffff |
| 24 | [POINT (18.56823961 -33.97754163), POINT (18.5... | 5 | POLYGON ((18.568164761546 -33.977691968643, 18... | 0.000100 | Polygon | 50022.720058 | 238.658016 | 88ad361009fffff |
| 25 | [POINT (18.568143759624 -33.981845295552), POI... | 5 | POLYGON ((18.568143759624 -33.981845295552, 18... | 0.000095 | Polygon | 52863.600052 | 252.211832 | 88ad361009fffff |
| 26 | [POINT (18.57059803 -33.97982102), POINT (18.5... | 5 | POLYGON ((18.57067581 -33.97984937, 18.5704024... | 0.000081 | Polygon | 61529.032347 | 293.554544 | 88ad361009fffff |
| 27 | [POINT (18.570097273657 -33.982177892917), POI... | 5 | POLYGON ((18.569999105489 -33.982258989107, 18... | 0.000128 | Polygon | 39112.743788 | 186.606602 | 88ad361009fffff |
| 28 | [POINT (18.57205081 -33.9820766), POINT (18.57... | 4 | POLYGON ((18.571953861185 -33.982347243761, 18... | 0.000098 | Polygon | 40849.417130 | 155.913806 | 88ad361009fffff |
| 29 | [POINT (18.56872454759 -33.982987481245), POIN... | 3 | POLYGON ((18.56872372497 -33.983150356735, 18.... | 0.000082 | Polygon | 36671.400917 | 104.975384 | 88ad361009fffff |
| 30 | [POINT (18.570490354069 -33.981772069569), POI... | 3 | POLYGON ((18.570588111698 -33.981772410756, 18... | 0.000041 | Polygon | 73342.722999 | 209.950543 | 88ad361009fffff |
# Compare the standard total requests/hex area vs the actual clustering derived 'Weighted Service Request per sqkm'.
hex_dens_gpd[hex_dens_gpd['Weighted Service Request per sqkm']==hex_dens_gpd['Weighted Service Request per sqkm'].max()]['Weighted Service Request per sqkm'].item(), outlier_1['weighted point density']
(1498.0995006811493, 7669.533510709044)
There is a large difference in the clustered weighted method and total requests/hex area method. In many cases this is due to very small convex geometries derived (i.e. a dense grouping of service requests). In the table above, index 18 has the highest cluster density, while only having 6 points within the cluster. This is due to the cluster convex geometry being small, in this case 52sqm.
Classification
As the dataset is 1 dimensional (1d) a range finder was chosen, namely natural breaks. Goodness of fit was measured for the natural break model to assess performance. Additionally kmeans was also used to assign two classes. The classification counts for both models were then compared.
Jenks natural breaks implementation
# Calculate intervals using natural breaks.
breaks=getJenksBreaks(hex_dens_gpd['Weighted Service Request per sqkm'].tolist(), 2)
breaks
[0, 231.57644953277307, 1498.0995006811493]
# Check the classification counts from the natural breaks method.
jenksclass=[classify(x, breaks) for x in hex_dens_gpd['Weighted Service Request per sqkm'].tolist()]
pd.DataFrame(jenksclass)[0].value_counts()
1 1367 2 409 Name: 0, dtype: int64
# Calculate the goodness of variance fit (gvf).
getGVF(hex_dens_gpd['Weighted Service Request per sqkm'].tolist(), 2)
0.6707682183378691
The gvf is ~0.68, this is reasonable. In normal circumstances the number of classes can be varied to attempt to improve this figure as well as removal of outliers. In this case however a binary classifcation (sparse vs dense) was required, and the derived breaks were maintained.
KMEANS checks, 1D implementation
# Setup kmeans model.
X = np.array(hex_dens_gpd['Weighted Service Request per sqkm'].tolist()).reshape(-1,1)
kmeans = KMeans(n_clusters=2, random_state=0).fit(X)
# Review kmeans assignments.
pd.DataFrame(kmeans.labels_)[0].value_counts()
1 1367 0 409 Name: 0, dtype: int64
# Review centroids for kmeans model clusters.
[list(x)[0] for x in kmeans.cluster_centers_]
[394.52716954494485, 67.95435619333]
No elbow curve was done for kmeans optimisation as a binary classification was required.
Time permitting an additional classification would involve merging the two different model classes i.e. when both natural breaks and kmeans classifications align an "Optimistic" class is assigned while if there is misalignment in the 2 classes a "Pessimistic" class is assigned.
For the purposes of this excercise the final verdict will be taken from the Jenks natural breaks implementation, due to the goodness of fit being ~0.68.
Make assignments of natural breaks classes
# Assign categorical classes, sparsely or densely populated.
hex_dens_gpd['Population density class']=jenksclass
hex_dens_gpd['Population density class']=hex_dens_gpd['Population density class'].apply(lambda x: 'densely populated' if x==2 else 'sparsely populated')
hex_dens_gpd['Population density class'].value_counts()
sparsely populated 1367 densely populated 409 Name: Population density class, dtype: int64
# Check that all geometries are present.
hex_dens_gpd[hex_dens_gpd['geometry'].isna()]
| h3_level8_index | Weighted Service Request per sqkm | index | geometry | Outlier yes/no | Population density class | |
|---|---|---|---|---|---|---|
| 1750 | 88ad36c629fffff | 1.429484 | NaN | None | no | sparsely populated |
# Remove the entries with no geometries.
hex_dens_gpd=hex_dens_gpd[~(hex_dens_gpd['geometry'].isna())].reset_index(drop=True)
# Split into two gdfs for mapping.
hex_dens_gpd_dense=hex_dens_gpd[hex_dens_gpd['Population density class']=='densely populated'].reset_index(drop=True)
hex_dens_gpd_sparse=hex_dens_gpd[hex_dens_gpd['Population density class']=='sparsely populated'].reset_index(drop=True)
Visualisation
#To create Terrain map
my_map = folium.Map(
location=[-33.96258671782152, 18.613835787647165],
zoom_start=10,
tiles='Stamen Terrain',
control_scale = True
)
basemaps = {
'Esri Satellite': folium.TileLayer(
tiles = 'https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}',
attr = 'Esri',
name = 'Esri Satellite',
overlay = True,
control = True,
control_scale = True
),
}
basemaps['Esri Satellite'].add_to(my_map)
#Add lat lon coords of mouse.
formatter = "function(num) {return L.Util.formatNum(num, 3) + ' º ';};"
MousePosition(
position="bottomright",
separator=" | ",
empty_string="NaN",
lng_first=False,
num_digits=20,
prefix="Coordinates:",
lat_formatter=formatter,
lng_formatter=formatter,
).add_to(my_map)
#GPS marker plugin.
# plugins.LocateControl().add_to(my_map)
#Add measure tool
plugins.MeasureControl(position='topright', primary_length_unit='meters', secondary_length_unit='miles', primary_area_unit='sqmeters', secondary_area_unit='acres').add_to(my_map)
<folium.plugins.measure_control.MeasureControl at 0x1fa389cbee0>
# Settings for geojson layers.
# ----------------------------------#
# Dense layer.
tooltip_lp_dense = GeoJsonTooltip(
fields = ['h3_level8_index', 'Weighted Service Request per sqkm', 'Outlier yes/no', 'Population density class'],
aliases = ['h3_level8_index', 'Weighted Service Request per sqkm', 'Outlier yes/no', 'Population density class'],
#localize = True,
sticky = True,
labels = True,
style = """
background-color: #F0EFEF;
border: 0.5px solid black;
border-radius: 0.5px,
box-shadow: 0.5px;
""",
max_width = 800
)
map_colors_lp_dense = lambda x: {
'fillColor': 'blue',
'color': 'black',
'weight': 2,
'fillOpacity': 0.30
}
# Sparse layer.
tooltip_lp_sparse = GeoJsonTooltip(
fields = ['h3_level8_index', 'Weighted Service Request per sqkm', 'Outlier yes/no', 'Population density class'],
aliases = ['h3_level8_index', 'Weighted Service Request per sqkm', 'Outlier yes/no', 'Population density class'],
#localize = True,
sticky = True,
labels = True,
style = """
background-color: #F0EFEF;
border: 0.5px solid black;
border-radius: 0.5px,
box-shadow: 0.5px;
""",
max_width = 800
)
map_colors_lp_sparse = lambda x: {
'fillColor': 'yellow',
'color': 'black',
'weight': 2,
'fillOpacity': 0.30
}
# ----------------------------------#
# Add Polygons.
# GeoDataFrames can be added as geojson.
folium.GeoJson(
hex_dens_gpd_dense,
name = 'Densely Populated Level 8 Hex',
style_function = map_colors_lp_dense,
tooltip = tooltip_lp_dense
).add_to(my_map)
folium.GeoJson(
hex_dens_gpd_sparse,
name = 'Sparsely Populated Level 8 Hex',
style_function = map_colors_lp_sparse,
tooltip = tooltip_lp_sparse
).add_to(my_map)
# ----------------------------------#
# Add a layer control panel to the map. #NOTE LAYER CONTROL MUST BE ADDED AFTER ALL POINTS/POLYGONS ARE ADDED TO MAP.
my_map.add_child(folium.LayerControl())
In general the use of service request density proved to reasonably align to population density. There are, however a few observed anomolies where areas known to have high population density are reflected as sparse due to the limited number of service requests submitted in those areas e.g. Mitchells Plain.
Observably, much of the dense catergorisation coincides with lower-income areas. This is somewhat unexpected as one would consider access to facilities e.g. internet, data etc. that would allow them to submit issues, would be limited in these communities, however the output refelcts a higher demand for services in these areas.
Unpopulated areas e.g. Cape Point nature reserve has many spatially distributed service requests, which is likely due to the incorrect coordinates been submitted. However, favourably, the binary classification approach was also able to detect smaller densely popluated areas such as Imizamo Yethu informal settlement (Hout Bay).
Areas indicated as dense are observed to be located to primary transport routes e.g. Southern railway line, N2, M7, R300 etc. As high volumes of commuters more regulalry traverse these spaces, it is likely that episodic occurences that impact broader safety e.g. traffic problems, animals, vandalism etc. would be reported, with the added likelihood that multiple individuals may report the same event.